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## From PR#10000 on, for R < 3.0.0pdf("reg-tests-1b.pdf", encoding = "ISOLatin1.enc")## force standard handling for data framesoptions(stringsAsFactors=FALSE) # R >= 4.0.0## .Machine(Meps <- .Machine$double.eps)# and use it in this fileassertWarning <- tools::assertWarningassertError <- tools::assertError## str() for list-alikes :"[[.foo" <- function(x,i) xx <- structure(list(2), class="foo")str(x)## gave infinite recursion < 2.6.0curve(sin, -2*pi, 3*pi); pu1 <- par("usr")[1:2]curve(cos, add = NA) # add = NA new in 2.14.0stopifnot(all.equal(par("usr")[1:2], pu1))## failed in R <= 2.6.0## tests of side-effects with CHARSXP cachingx <- y <- "abc"Encoding(x) <- "UTF-8"stopifnot(Encoding(y) == "unknown") # was UTF-8 in 2.6.0x <- unserialize(serialize(x, NULL))stopifnot(Encoding(y) == "unknown") # was UTF-8 in 2.6.0## problems in earlier versions of cache## regression test for adding functions to deriv()deriv3(~ gamma(y), namevec="y")deriv3(~ lgamma(y), namevec="y")# failed in R < 2.7.0D(quote(digamma(sin(x))),"x")D(quote(trigamma(sin(x))),"x")D(quote(psigamma(sin(x))),"x")D(quote(psigamma(sin(x), 3)),"x")n <- 2L; D(quote(psigamma(sin(x), n)),"x")## rest are new## .subset2 quirkiris[1, c(TRUE, FALSE, FALSE, FALSE, FALSE)]iris[1, c(FALSE, FALSE, FALSE, FALSE, TRUE)]## failed in 2.6.0## indexing by "": documented as 'no name' and no matchx <- structure(1:4, names=c(letters[1:3], ""))stopifnot(is.na(x[""])) # always sostopifnot(is.na(x[NA_character_]))z <- tryCatch(x[[NA_character_]], error=function(...) {})stopifnot(is.null(z))z <- tryCatch(x[[""]], error=function(...) {})stopifnot(is.null(z)) # x[[""]] == 4 < 2.7.0x[[""]] <- 5 # no match, so should add an element, but replaced.stopifnot(length(x) == 5)x[""] <- 6 # also addstopifnot(length(x) == 6)xx <- list(a=1, 2)stopifnot(is.null(xx[[""]])) # 2 < 2.7.0#### negative n gave choose(n, k) == 0stopifnot(isTRUE(all.equal(choose(-1,3),-1)))#### by() on 1-column data frame (PR#10506)X <- data.frame(a=1:10)g <- gl(2,5)by(X, g, colMeans)## failed in 2.6.1## range.default omitted na.rm on non-numeric objects(z <- range(as.Date(c("2007-11-06", NA)), na.rm = TRUE))stopifnot(!is.na(z))## NAs in 2.6.1## cut() on constant values used the min, not abs(min)z <- cut(rep(-1,5), 2)stopifnot(!is.na(z))#### extreme example of two-sample wilcox.test## reported by Wolfgang Huber to R-devel, 2008-01-01## normal approximation is way off here.wilcox.test(1, 2:60, conf.int=TRUE, exact=FALSE)## failed in R < 2.7.0## more corner cases for cor()z <- cor(c(1,2,3),c(3,4,6),use="pairwise.complete.obs",method="kendall")stopifnot(!is.matrix(x)) # was 1x1 in R < 2.7.0Z <- cbind(c(1,2,3),c(3,4,6))# next gave 0x0 matrix < 2.7.0z <- try(cor(Z[, FALSE], use="pairwise.complete.obs",method="kendall"))stopifnot(inherits(z, "try-error"))# next gave NA < 2.7.0z <- try(cor(numeric(0), numeric(0), use="pairwise.complete.obs",method="kendall"))stopifnot(inherits(z, "try-error"))#### infinite loop in format.AsIs reported on R-help by Bert Gunter## https://stat.ethz.ch/pipermail/r-help/2008-January/149504.htmlz <- rep(Sys.time(),5)data.frame(I(z))#### drop with length-one resultx <- matrix(1:4, 4,1, dimnames=list(letters[1:4], NULL))stopifnot(identical(names(drop(x)), letters[1:4])) # was OKstopifnot(identical(names(drop(x[1,,drop=FALSE])), "a")) # was no namesstopifnot(identical(names(x[1,]), "a")) # ditto# now consistency tests.x <- matrix(1, 1, 1, dimnames=list("a", NULL))stopifnot(identical(names(x[,]), "a"))x <- matrix(1, 1, 1, dimnames=list(NULL, "a"))stopifnot(identical(names(x[,]), "a"))x <- matrix(1, 1, 1, dimnames=list("a", "b"))stopifnot(is.null(names(x[,])))## names were dropped in R < 2.7.0 in all cases except the first.## fisher.test with extreme degeneracy PR#10558a <- diag(1:3)p <- fisher.test(a, simulate.p.value=TRUE)$p.value# true value is 1/60, but should not be smallstopifnot(p > 0.001)## was about 0.0005 in 2.6.1 patched## tests of problems fixed by Marc Schwartz's patch for## cut/hist for Dates and POSIXtDates <- seq(as.Date("2005/01/01"), as.Date("2009/01/01"), "day")months <- format(Dates, format = "%m")years <- format(Dates, format = "%Y")mn <- unlist(lapply(unname(split(months, years)), table), use.names=FALSE)ty <- as.vector(table(years))# Test hist.Date() for monthsstopifnot(identical(hist(Dates, "month", plot = FALSE)$counts, mn))# Test cut.Date() for monthsstopifnot(identical(as.vector(table(cut(Dates, "month"))), mn))# Test cut.Date() for 3 monthsstopifnot(identical(as.vector(table(cut(Dates, "3 months"))),as.integer(colSums(matrix(c(mn, 0, 0), nrow = 3)))))# Test hist.Date() for yearsstopifnot(identical(hist(Dates, "year", plot = FALSE)$counts, ty))# Test cut.Date() for yearsstopifnot(identical(as.vector(table(cut(Dates, "years"))),ty))# Test cut.Date() for 3 yearsstopifnot(identical(as.vector(table(cut(Dates, "3 years"))),as.integer(colSums(matrix(c(ty, 0), nrow = 3)))))Dtimes <- as.POSIXlt(Dates)# Test hist.POSIXt() for monthsstopifnot(identical(hist(Dtimes, "month", plot = FALSE)$counts, mn))# Test cut.POSIXt() for monthsstopifnot(identical(as.vector(table(cut(Dtimes, "month"))), mn))# Test cut.POSIXt() for 3 monthsstopifnot(identical(as.vector(table(cut(Dtimes, "3 months"))),as.integer(colSums(matrix(c(mn, 0, 0), nrow = 3)))))# Test hist.POSIXt() for yearsstopifnot(identical(hist(Dtimes, "year", plot = FALSE)$counts, ty))# Test cut.POSIXt() for yearsstopifnot(identical(as.vector(table(cut(Dtimes, "years"))), ty))# Test cut.POSIXt() for 3 yearsstopifnot(identical(as.vector(table(cut(Dtimes, "3 years"))),as.integer(colSums(matrix(c(ty, 0), nrow = 3)))))## changed in 2.6.2## zero-length args in tapply (PR#10644)tapply(character(0), factor(letters)[FALSE], length)## failed < 2.6.2## zero-length patterns in gregexprexpect <- structure(1:3, match.length=rep(0L, 3),index.type = "chars", useBytes = TRUE)stopifnot(identical(expect, gregexpr("", "abc")[[1]]))stopifnot(identical(expect, gregexpr("", "abc", fixed=TRUE)[[1]]))stopifnot(identical(expect, gregexpr("", "abc", perl=TRUE)[[1]]))## segfaulted < 2.6.2## test of internal argument matchingstopifnot(all.equal(round(d=2, x=pi), 3.14))## used positional matching in 2.6.x## kappa.tri(x, exact=TRUE) wrongly ended using exact=FALSE:data(longley)fm1 <- lm(Employed ~ ., data = longley)stopifnot(all.equal(23845862, kappa(fm1, exact=TRUE)))## names from pairlists (PR#10807, esoteric)m <- c("a", "b", "c")mp <- pairlist("a", "b", "c")x <- 1:3names(x) <- mpstopifnot(identical(names(x), m)) # OK beforex <- 1:3attr(x, "names") <- mpstopifnot(identical(names(x), m)) # rep("a", 3) in 2.6.x#### preserving attributes in [<-.data.frame (PR#10873)df <- data.frame(a=1:3, b=letters[1:3])attr(df,"foo") <- 10df[, "b"] <- 10:12stopifnot(identical(attr(df, "foo"), 10))## dropped attributes < 2.7.0## r<foo> NA warnings, and rnorm(*, mu = +- Inf) consistencyop <- options(warn=2)m <- c(-Inf,Inf)stopifnot(rnorm(2, mean = m) == m,rexp (2, Inf) == 0)set.seed(11)rt(1, Inf)R <- list(try(rnorm(2, numeric())),try(rexp (2, numeric())),try(rnorm(2, c(1,NA))),try(rnorm(1, sd = Inf)) )options(op)stopifnot(sapply(R, function(ch) sub(".* : ", '', ch) =="(converted from warning) NAs produced\n"))## was inconsistent in R < 2.7.0## predict.loess with transformed variablesset.seed(11)y <- 1:100 + rnorm(100)od <- data.frame(x=1:100, z=1:100 + rnorm(100, 10))nd <- data.frame(x=1:100, z=11:110)fit <- loess(y ~ log(x) + log(z), od)p1 <- predict(fit, nd) # failed in 2.6.xfit.log <- loess(y ~ x + z, log(od))p2 <- predict(fit.log, log(nd))stopifnot(all.equal(p1, p2))## wishlist PR#11192plot(1:10)segments(1, 1, 10, 10, col='green')segments(numeric(0), numeric(0), numeric(0), numeric(0), col='green')## last was error in R < 2.8.0## merging with a zero-row data framemerge(NULL, women)merge(women, NULL)merge(women[FALSE, ], women)merge(women, women[FALSE, ])## first two failed in 2.7.0## influence.measures() for lm and glm, and its constituentsif(require(MASS)) {fit <- lm(formula = 1000/MPG.city ~ Weight + Cylinders + Type + EngineSize + DriveTrain, data = Cars93)gf <- glm(formula(fit), data=Cars93) # should be "identical"im1 <- influence.measures(fit)im2 <- influence.measures(gf)stopifnot(all.equal(im1[1:2], im2[1:2]),all.equal(unname(im1$infmat[,1:15]), unname(dfbetas(fit))),all.equal(im1$infmat[,"dffit"], dffits(fit)),all.equal(im1$infmat[,"cov.r"], covratio(fit)),all.equal(im1$infmat[,"cook.d"], cooks.distance(fit)),all.equal(im2$infmat[,"cook.d"], cooks.distance(gf)),all.equal(im1$infmat[,"hat"], hatvalues(fit)))}## "cook.d" part of influence.measures(<glm>) differed in R <= 2.7.0## short list value for dimnamesn <- matrix(c(1259, 845, 719,390,1360,1053,774,413), nrow = 2, byrow = TRUE)dimnames(n)[[1]] <- c("a", "b")## was (correctly) an error in R < 2.8.0## glob2rx(pattern, .) with "(", "[" or "{" in pattern :nm <- "my(ugly[file{name"stopifnot(identical(regexpr(glob2rx("*[*"), nm),structure(1L, match.length = 8L,index.type = "chars", useBytes = TRUE)),identical(regexpr(glob2rx("*{n*"), nm),structure(1L, match.length = 14L,index.type = "chars", useBytes = TRUE)),identical(regexpr(glob2rx("*y(*{*"), nm),structure(1L, match.length = 13L,index.type = "chars", useBytes = TRUE)))## gave 'Invalid regular expression' in R <= 2.7.0## showDefault() problem with "unregistered" S3 classes:show(structure(1:3, class = "myClass"))## failed in R <= 2.7.0## formatC(.., format="fg", flag="#"):x <- 0.599 * c(.1, .01, .001, 1e-4,1e-5,1e-6)(fCx <- formatC(x, digits=2, format="fg", flag="#"))stopifnot(sub(".*(..)$", "\\1", fCx) == "60")## dropped the trailing "0" in the last 3 cases, in R <= 2.7.0## c.noquote bug, posted to R-devel by Ray Brownrigg, 2008-06-16z <- c(noquote('z'), 'y', 'x', 'w')stopifnot(identical(unclass(z), c('z', 'y', 'x', 'w')))## repeated third and later args in R < 2.7.1.## PD found that f==f contains NA when f has NA levels (but no missing value)f1 <- factor(c(1, 2, NA), levels = 1:2)f2 <- factor(c(1, 2, NA), exclude = NULL)stopifnot(identical(f1, factor(c(1,2,NA))),nlevels(f1) == 2, nlevels(f2) == 3,all(f2 == f2), !any(f2 != f2),identical(f1 == f1, c(TRUE,TRUE,NA)))f. <- f <- factor(c(letters[c(1:3,3:1)],"NA", "d","d", NA), exclude=NULL)is.na(f.)[2:3] <- TRUEf.stopifnot(all(f == f), identical(f == f., f. == f.),identical(2:3, which(is.na(f. == f.))))## f == f was wrong in R 1.5.0 -- 2.7.1## data.frame[, <char>] must match exactlydd <- data.frame(ii = 1:10, xx = pi * -3:6)t1 <- try(dd[,"x"])# partial matcht2 <- try(dd[,"C"])# no matchstopifnot(inherits(t1, "try-error"),inherits(t2, "try-error"),## partial matching is "ok" for '$' {hence don't use for dataframes!}identical(dd$x, dd[,"xx"]))## From 2.5.0 to 2.7.1, the non-match indexing gave NULL instead of error## data.frame[ (<NA>), ] when row.names had "NA"x <- data.frame(x=1:3, y=2:4, row.names=c("a","b","NA"))y <- x [c(2:3, NA),]y.ok <- data.frame(x=c(2:3,NA), y=c(3:4,NA), row.names=c("b", "NA", "NA.1"))stopifnot(identical(y, y.ok))## From 2.5.0 to 2.7.1, y had row name "NA" twicestopifnot(shapiro.test(c(0,0,1))$p.value >= 0)## was wrong up to 2.7.1, because of rounding errors (in single precision).stopifnot(rcond(cbind(1, c(3,3))) == 0)## gave an error (because Lapack's LU detects exact singularity)## dispatch when primitives are called from lapply.x <- data.frame(d=Sys.Date())stopifnot(sapply(x, is.numeric) == FALSE)# TRUE in 2.7.1, tried to dispatch on "FUN"(ds <- seq(from=Sys.Date(), by=1, length=4))lapply(list(d=ds), round)# failed in 2.7.1 with 'dispatch error' since call had '...' arg## related to calls being passed unevaluated by lapply.## subsetting data frames with NA cols## Dieter Menne: https://stat.ethz.ch/pipermail/r-help/2008-January/151266.htmldf3 <- data.frame(a=0:10,b=10:20,c=20:30)names(df3) <- c("A","B", NA)df3[-2]df3[, -2]df3[1:4, -2]df3[c(TRUE,FALSE,TRUE)]df3[, c(TRUE,FALSE,TRUE)]df3[1:4, c(TRUE,FALSE,TRUE)]## all gave 'undefined columns selected', 2.6.1 to 2.7.x## note that you can only select columns by number, not by name## nls with weights in an unusual modelData <- data.frame(x=c(1,1,1,1,1,2,2,3,3,3,3,3,3,4,4,4,5,5,5,5,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,8,8,8, 8,8,8,8,8,8,8,9,9,9,9,9,11,12),y=c(73,73,70,74,75,115,105,107,124,107,116,125,102,144,178,149,177,124,157,128, 169,165,186,152,181,139,173,151,138,181,152,188,173,196,180,171,188,174,198, 172, 176,162,188,182,182,141,191,190,159,170,163,197),weight=c(1, rep(0.1, 51)))G.st <- c(k=0.005, g1=50, g2=550)# model has length-1 (and 52) variablesTa <- min(Data$x)Tb <- max(Data$x)#no weightsnls(y~((g1)*exp((log(g2/g1))*(1-exp(-k*(x-Ta)))/(1-exp(-k*(Tb-Ta))))), data=Data, start=G.st, trace=TRUE)#with weightsnls(y ~ ((g1)*exp((log(g2/g1))*(1-exp(-k*(x-Ta)))/(1-exp(-k*(Tb-Ta))))),data = Data, start = G.st, trace = TRUE, weights = weight)## failed for find weights in R <= 2.7.1## barplot(log = "y") with NAs (PR#11585)dat <- matrix(1:25, 5)dat[2,3] <- NAbarplot(dat, beside = TRUE, log = "y")## failed in 2.7.1## related to PR#12551unique("a", c("a", "b"))unique(1, 1:2)# could seqfault in 2.7.1 on some platformsstopifnot(!duplicated(rep("a", 3), "a"))## wrong answer in 2.7.1## drop1.lm() bugdd <- stackloss ; dd[1,3] <- NArr <- lm(stack.loss ~ ., data=dd, na.action=na.exclude)drop1(rr)## failed in 2.7.x## explicit row.names=NULL in data.frame()stopifnot(identical(row.names(data.frame(x=c(a=1,b=2), row.names=NULL)),c("1", "2")))stopifnot(identical(row.names(data.frame(x=c(a=1,b=2))), c("a", "b")))## same as default in 2.5.0 <= R < 2.7.2stopifnot(all.equal(chol2inv(2), matrix(0.25, 1), tolerance = 4*Meps),all.equal(solve(chol2inv(chol(4))), matrix(4, 1), tolerance = 10*Meps))## chol2inv() did not accept non-matrices up to 2.7.*## seek should discard pushback. (PR#12640)cat(c("1\t2\t3", "4\t5\t6"), file="foo.txt", sep="\n")fd <- file("foo.txt",open="rt")scan(file=fd,what=double(),n=2)seek(con=fd,where=0,origin="start")z <- scan(file=fd,what=double(),n=2)close(fd)unlink("foo.txt")stopifnot(identical(z, c(1,2)))## changed in 2.7.2 patched## cov / cor / var etc with NAs :stopifnot(inherits(try(var(NULL)), "try-error"))## gave NA in 1.2.2v0 <- var(0[FALSE]) # gave "'x' is empty" in the past; NA in 1.2.2x <- c(1:2,NA)v1 <- var(c(1,NA))v2 <- var(c(NA,0/0, Inf-Inf))sx <- sd(x)# sd() -> var()## all three gave "missing observations in cov/cor" for a long time in the pastis.NA <- function(x) is.na(x) & !is.nan(x)stopifnot(is.NA(v1), is.NA(v2), is.NA(sx),all.equal(0.5, var(x, na.rm=TRUE), tol=8*Meps)# should even be exact)## write.dcf() indenting for ".<foo>" (PR#12816)zz <- textConnection("foo", "w")write.dcf(list(Description = 'what a fat goat .haha'),file = zz, indent=1, width=10)stopifnot(substring(foo[-1], 1,1) == " ", length(foo) == 4,foo[4] == " .haha")close(zz)## was " .haha" (not according to DCF standard)## pdf() with CIDfonts active -- they need MBCS to be supportedpdf(file = "testCID.pdf", family="Japan1") # << for CIDfonts, pd->fonts is NULLtry({plot(1,1,pch="", axes=FALSE)text(1,1,"F.1", family="Helvetica")})dev.off()unlink("testCID.pdf")## text() seg.faulted up to 2.7.2 (and early 2.8.0-alpha)## PS mixing CIDfonts and Type1 - reverse casepostscript(file = "testCID.ps", family="Helvetica")plot(1,1,pch="", axes=FALSE)try(text(1,1,"A",family="Japan1"))unlink("testCID.ps")## error instead of seg.fault## splinefun with derivatives evaluated to the left of first knotx <- 1:10; y <- sin(x)splfun <- splinefun(x,y, method='natural')x1 <- splfun( seq(0,1, 0.1), deriv=1 )x2 <- splfun( seq(0,1, 0.1), deriv=2 )x3 <- splfun( seq(0,1, 0.1), deriv=3 )stopifnot(x1 == x1[1], x2 == 0, x3 == 0)#### glm(y = FALSE), in part PR#1398fit <- glm(1:10 ~ I(1:10) + I((1:10)^2), y = FALSE)anova(fit)## obscure errors < 2.8.0## boundary case in cut.Date (PR#13159)d <- as.Date("2008-07-07")cut(d, "weeks")d <- as.POSIXct("2008-07-07", tz="UTC")cut(d, "weeks")## failed < 2.8.0### end of tests added for 2.8.x## (Deliberate) overshot in seq(from, to, by) because of fuzzstopifnot(seq(0, 1, 0.00025+5e-16) <= 1, seq.int(0, 1, 0.00025+5e-16) <= 1)## overshot by about 2e-12 in 2.8.x## no longer reaches 1 in 2.11.0 (needed a fuzz of 8e-9)## str() with an "invalid object"ob <- structure(1, class = "test") # this is fineis.object(ob)# TRUEob <- 1 + ob # << this is "broken"is.object(ob)# FALSE - hmm..identical(ob, unclass(ob)) # TRUE !stopifnot(grep("num 2", capture.output(str(ob))) == 1)## str(ob) lead to infinite recursion in R <= 2.8.0## row.names(data.frame(matrixWithDimnames)) (PR#13230)rn0 <- c("","Row 2","Row 3")A <- matrix(1:6, nrow=3, ncol=2, dimnames=list(rn0, paste("Col",1:2)))rn <- row.names(data.frame(A))stopifnot(identical(rn, rn0))# was 1:3 in R 2.8.0, whereasrn0 <- c("Row 1","","Row 3")A <- matrix(1:6, nrow=3, ncol=2, dimnames=list(rn0, paste("Col",1:2)))rn <- row.names(data.frame(A))stopifnot(identical(rn, rn0))## used the names.## rounding error in windowing a time series (PR#13272)x <- ts(1:290, start=c(1984,10), freq=12)window(x, start=c(2008,9), end=c(2008,9), extend=FALSE)window(x, start=c(2008,9), end=c(2008,9), extend=TRUE)## second failed in 2.8.0## deparse(nlines=) should shrink the result (PR#13299)stopifnot(length(deparse(quote(foo(1,2,3)), width.cutoff = 20, nlines=7)) ==1)## was 7.## legend did not reset xpd correctly (PR#12756)par(xpd = FALSE)plot(1)legend("top", legend="Tops", xpd=NA, inset=-0.1)stopifnot(identical(par("xpd"), FALSE))## left xpd as NA## lines.formula with 'subset' and no 'data' needed a tweak## (R-help, John Field, 20008-11-14)x <- 1:5y <- c(1,3,NA,2,5)plot(y ~ x, type="n")lines(y ~ x, subset = !is.na(y), col="red")## error in 2.8.0## prettyNum(*, drop0trailing) erronously dropped 0 in '1e10':cn <- c("1.107", "2.3120", "3.14e+0", "4.2305400", "120.0","5.31e-01", "6.3333e-20", "8.1e100", "9.9e+00", "10.1e-0")d <- cn != (pcn <- prettyNum(cn, drop0trailing=TRUE))stopifnot(identical(pcn[d],c("2.312", "3.14", "4.23054","120","9.9","10.1")),identical("-3", prettyNum("-3.0",drop0trailing=TRUE)) )## first failed, e.g. for 8.1e100## (R-help, 2008-12-01)transform(mtcars, t1=3, t2=4)## failed in 2.8.0 since extra columns were passed as a list.## deparsing transform failedparse(text = deparse(transform))## failed in 2.8.0## crashed on some systems (PR#13361)matrix(1:4, nrow=2, dimnames=list())#### col(as.factor=TRUE) failedcol(matrix(0, 5, 5), as.factor=TRUE)## failed in 2.8.0## qt failure in R-devel in early Dec 2008stopifnot(!is.nan(qt(0.1, 0.1)))#### formals<- gave wrong result for list bodyf <- f0 <- function(x) list(pi)formals(f) <- formals(f)stopifnot(identical(body(f), body(f)))## had body 'pi' < 2.8.1## body<- failed on a function with no arguments.f <- function() {pi}body(f) <- 2f## Failed < 2.8.1## body<- with value a listf <- function(x) NULLbody(f) <- list(pi)stopifnot(is.list(body(f))) # was 'pi'body(f) <- b0 <- list(a=1, b=2)stopifnot(identical(body(f), b0)) # 'a' became an argumentf <- function(x) NULLbody(f) <- list(1, 2, 3) # was error## pre-2.9.0 behaviour was erratic.## PR#13305qr.solve(cbind(as.complex(1:11), as.complex(1)),as.complex(2*(20:30)))## failed in 2.8.1## PR#13433: is ....\nEOF an empty last line?aa <- "field1\tfield2\n 1\ta\n 2\tb"zz <- textConnection(aa)res <- read.table(zz, blank.lines.skip = FALSE)close(zz)stopifnot(nrow(res) == 3)## was 4 in 2.8.1## segfault from cbind() reported by Hadley Wickham## https://stat.ethz.ch/pipermail/r-devel/2009-January/051853.htmle <- environment()a <- matrix(list(e), ncol = 1, nrow = 2)b <- matrix(ncol = 0, nrow = 2) # zero-lengthcbind(a, b)cbind(a, b)## crashed in 2.9.0## besselI(x, -n) == besselI(x, +n) when n is an integerset.seed(7) ; x <- rlnorm(216) ; nu <- c(1,44,111)## precision lost warnings {may be gone in the future}:suppressWarnings(r <- outer(x, c(-nu, nu), besselI))stopifnot(identical(r[,1:3], r[,4:6]))## suffered from sin(n * pi) imprecision in R <= 2.8.1## Large sanples in mood.test## https://stat.ethz.ch/pipermail/r-help/2009-March/190479.htmlset.seed(123)x <- rnorm(50, 10, 5)y <- rnorm(50, 2 ,5)(z <- mood.test(x, y))stopifnot(!is.na(z$p.value))## gave warning and incorrect result in 2.8.x## heatmap without dendrogram (PR#13512)X <- matrix(rnorm(200),20,10)XX <- crossprod(X)heatmap(XX, Rowv = NA, revC = TRUE)heatmap(XX, Rowv = NA, symm = TRUE)## both failed in 2.8.1## sprintf with 0-length argsstopifnot(identical(sprintf("%d", integer(0L)), character(0L)))stopifnot(identical(sprintf(character(0L), pi), character(0L)))## new feature in 2.9.0## C-level asLogical(x) or c(<raw>, <number>) did not workr <- as.raw(1)stopifnot(if(r) TRUE)for (type in c("null", "logical", "integer", "double", "complex","character", "list", "expression"))c(r, r, get(sprintf('as.%s', type))(1))## failed before 2.9.0### Non-unique levels in factor should be forbidden from R 2.10.0 onc1 <- c("a.b","a"); c2 <- c("c","b.c")fi <- interaction(c1, c2)stopifnot(length(lf <- levels(fi)) == 3, lf[1] == "a.b.c",identical(as.integer(fi), rep.int(1L, 2)))## interaction() failed to produce unique levels before 2.9.1levs <- c("A","A")## warnings since 2009; errors since R 3.4.0 (R-devel, June 2016):local({assertError(gl(2,3, labels = levs))assertError(factor(levs, levels=levs))## now valid: factor(1:2, labels=levs)})## failed in R < 2.10.0L <- c("no", "yes")x <- (5:1)/10; lx <- paste("0.", 1:5, sep="")y <- pi + (-9:9)*2^-53z <- c(1:2,2:1) ; names(z) <- nz <- letters[seq_along(z)]of <- ordered(4:1)stopifnot(identical(factor(c(2, 1:2), labels = L),structure(c(2L, 1:2), .Label = L, class="factor")),identical(factor(x),structure(5:1, .Label = lx, class="factor")),length(levels(factor(y))) == 1, length(unique(y)) == 5,identical(factor(z),structure(z, .Names = nz, .Label = c("1","2"),class="factor")),identical(of, factor(of)))## partly failed in R <= 2.9.0, partly in R-devel(2.10.0)## "misuses" of sprintf()assertError(sprintf("%S%"))assertError(sprintf("%n %g", 1))## seg.faulted in R <= 2.9.0## sprintf(., e) where length(as.character(e)) < length(e):e <- tryCatch(stop(), error=identity)stopifnot(identical(sprintf("%s", e),sprintf("%s", as.character(e))))## seg.faulted in R <= 2.9.0e <- tryCatch(sprintf("%q %d",1), error=function(e)e)e2 <- tryCatch(sprintf("%s", quote(list())), error=function(e)e)e3 <- tryCatch(sprintf("%s", quote(blabla)), error=function(e)e)stopifnot(inherits(e, "error"), inherits(e2, "error"),inherits(e3, "error"),grep("invalid", c(msg <- conditionMessage(e),msg2 <- conditionMessage(e2),msg3 <- conditionMessage(e3))) == 1:3,1 == c(grep("%q", msg), grep("language", msg2), grep("symbol", msg3)))## less helpful error messages previously## bw.SJ on extreme exampleep <- 1e-3stopifnot(all.equal(bw.SJ(c(1:99, 1e6), tol = ep), 0.725, tolerance = ep))## bw.SJ(x) failed for R <= 2.9.0 (in two ways!), when x had extreme outlier## anyDuplicated() with 'incomp' ...oo <- options(warn=2) # no warnings allowedstopifnot(identical(0L, anyDuplicated(c(1,NA,3,NA,5), incomp=NA)),identical(5L, anyDuplicated(c(1,NA,3,NA,3), incomp=NA)),identical(4L, anyDuplicated(c(1,NA,3,NA,3), incomp= 3)),identical(0L, anyDuplicated(c(1,NA,3,NA,3), incomp=c(3,NA))))options(oo)## missing UNPROTECT and partly wrong in development versions of R## test of 'stringsAsFactors' argument to expand.grid()z <- expand.grid(letters[1:3], letters[1:4], stringsAsFactors = TRUE)stopifnot(sapply(z, class) == "factor")z <- expand.grid(letters[1:3], letters[1:4], stringsAsFactors = FALSE)stopifnot(sapply(z, class) == "character")## did not work in 2.9.0, fixed in 2.9.1 patched## print.srcref should not fail; a bad encoding should fail; neither should## leave an open connectionnopen <- nrow(showConnections())tmp <- tempfile()cat( c( "1", "a+b", "2"), file=tmp, sep="\n")p <- parse(tmp)print(p)con <- try(file(tmp, open="r", encoding="unknown"))unlink(tmp)stopifnot(inherits(con, "try-error") && nopen == nrow(showConnections()))#### PR#13574x <- 1:11; y <- c(6:1, 7, 11:8)stopifnot(all.equal(cor.test(x, y, method="spearman", alternative="greater")$p.value,cor.test(x, -y, method="spearman", alternative="less")$p.value))## marginally different < 2.9.0 patched## median should work on POSIXt objects (it did in 2.8.0)median(rep(Sys.time(), 2))## failed in 2.8.1, 2.9.0## repeated NA in dim() (PR#13729)L0 <- logical(0)try(dim(L0) <- c(1,NA,NA))stopifnot(is.null(dim(L0)))L1 <- logical(1)try(dim(L1) <- c(-1,-1))stopifnot(is.null(dim(L)))## dim was set in 2.9.0## as.character(<numeric>)nx <- 0.3 + 2e-16 * -2:2stopifnot(identical("0.3", unique(as.character(nx))),identical("0.3+0.3i", unique(as.character(nx*(1+1i)))))## the first gave ("0.300000000000000" "0.3") in R < 2.10.0## aov evaluated a test in the wrong place ((PR#13733)DF <- data.frame(y = c(rnorm(10), rnorm(10, mean=3), rnorm(10, mean=6)),x = factor(rep(c("A", "B", "C"), c(10, 10, 10))),sub = factor(rep(1:10, 3)))## In 2.9.0, the following line raised an error because "x" cannot be foundjunk <- summary(aov(y ~ x + Error(sub/x), data=DF, subset=(x!="C")))## safety check added in 2.9.0 evaluated the call.## for(var in seq) .. when seq is modified "inside" :x <- c(1,2); s <- 0; for (i in x) { x[i+1] <- i + 42.5; s <- s + i }stopifnot(s == 3)## s was 44.5 in R <= 2.9.0## ":" at the boundaryM <- .Machine$integer.maxs <- (M-2):(M+.1)stopifnot(is.integer(s), s-M == -2:0)## was "double" in R <= 2.9.1## too many columns model.matrix()dd <- as.data.frame(sapply(1:40, function(i) gl(2, 100)))(f <- as.formula(paste("~ - 1 + ", paste(names(dd), collapse = ":"), sep = "")))e <- tryCatch(X <- model.matrix(f, data = dd), error=function(e)e)stopifnot(inherits(e, "error"))## seg.faulted in R <= 2.9.1## seq_along( <obj> )x <- structure(list(a = 1, value = 1:7), class = "FOO")length.FOO <- function(x) length(x$value)stopifnot(identical(seq_len(length(x)),seq_along(x)))## used C-internal non-dispatching length() in R <= 2.9.1## factor(NULL)stopifnot(identical(factor(), factor(NULL)))## gave an error from R ~1.3.0 to 2.9.1## methods() gave two wrong warnings in some cases:op <- options(warn = 2)# no warning, please!m1 <- methods(na.omit) ## should give (no warning):##setClass("bla")setMethod("na.omit", "bla", function(object, ...) "na.omit(<bla>)")(m2 <- methods(na.omit)) ## should give (no warning):stopifnot(identical(m1, .S3methods("na.omit")))options(op)## gave two warnings, when an S3 generic had turned into an S4 one## raw vector assignment with NA indexx <- charToRaw("abc")y <- charToRaw("bbb")x[c(1, NA, 3)] <- x[2]stopifnot(identical(x, y))## used to segfault## Logic operations with complexstopifnot(TRUE & -3i, FALSE | 0+1i,TRUE && 1i, 0+0i || 1+0i)## was error-caught explicitly in spite of contrary documentation## Tests of save/load with different types of compressionxx <- 1:1000test1 <- function(ascii, compress){tf <- tempfile()x <- xxsave(x, ascii = ascii, compress = compress, file = tf)load(tf)stopifnot(identical(x, xx))unlink(tf)}for(compress in c(FALSE, TRUE))for(ascii in c(TRUE, FALSE)) test1(ascii, compress)for(compress in c("bzip2", "xz"))for(ascii in c(TRUE, FALSE)) test1(ascii, compress)## tests of read.table with different types of compressed inputmor <- system.file("data/morley.tab", package="datasets")ll <- readLines(mor)tf <- tempfile()## gzip copressionwriteLines(ll, con <- gzfile(tf)); close(con)file.info(tf)$sizestopifnot(identical(read.table(tf), morley))## bzip2 copressionwriteLines(ll, con <- bzfile(tf)); close(con)file.info(tf)$sizestopifnot(identical(read.table(tf), morley))## xz copressionwriteLines(ll, con <- xzfile(tf, compression = -9)); close(con)file.info(tf)$sizestopifnot(identical(read.table(tf), morley))unlink(tf)## weighted.mean with NAs (PR#14032)x <- c(101, 102, NA)stopifnot(all.equal(mean(x, na.rm = TRUE), weighted.mean(x, na.rm = TRUE)))## divided by 3 in 2.10.0 (only)## but *should* give NaN for empty:stopifnot(identical(NaN, weighted.mean(0[0])),identical(NaN, weighted.mean(NA, na.rm=TRUE)),identical(NaN, weighted.mean(rep(NA_real_,2), na.rm=TRUE)))## all three gave 0 in 2.10.x and 2.11.x (but not previously)## unname() on 0-length vectorstopifnot(identical(1[FALSE], unname(c(a=1)[FALSE])))## failed to drop names in 2.10.0## complete.cases on 0-column data framecomplete.cases(data.frame(1:10)[-1])## failed in 2.10.0## PR#14035, converting (partially) unnamed lists to environments.(qq <- with(list(2), ls()))nchar(qq)with(list(a=1, 2), ls())## failed in R < 2.11.0## chisq.test with over-long 'x' or 'y' arg# https://stat.ethz.ch/pipermail/r-devel/2009-November/055700.htmlx <- y <- rep(c(1000, 1001, 1002), each=5)z <- eval(substitute(chisq.test(x,y), list(x=x)))zz$observed## failed in 2.10.0## unsplit(drop = TRUE) on a data frame failed (PR#14084)dff <- data.frame(gr1 = factor(c(1,1,1,1,1,2,2,2,2,2,2), levels=1:4),gr2 = factor(c(1,2,1,2,1,2,1,2,1,2,3), levels=1:4),yy = rnorm(11), row.names = as.character(1:11))dff2 <- split(dff, list(dff$gr1, dff$gr2), drop=TRUE)dff3 <- unsplit(dff2, list(dff$gr1, dff$gr2), drop=TRUE)stopifnot(identical(dff, dff3))## failed in 2.10.0## mean.difftime ignored its na.rm argumentz <- as.POSIXct(c("1980-01-01", "1980-02-01", NA, "1980-03-01", "1980-04-01"))zz <- diff(z)stopifnot(is.finite(mean(zz, na.rm=TRUE)))## was NA in 2.10.0## weighted means with zero weights and infinite valuesx <- c(0, 1, 2, Inf)w <- c(1, 1, 1, 0)z <- weighted.mean(x, w)stopifnot(is.finite(z))## was NaN in 2.10.x## Arithmetic operations involving "difftime"z <- as.POSIXct(c("2009-12-01", "2009-12-02"), tz="UTC")(zz <- z[2] - z[1])(zzz <- z[1] + zz)stopifnot(identical(zzz, z[2]),identical(zz + z[1], z[2]),identical(z[2] - zz, z[1]))z <- as.Date(c("2009-12-01", "2009-12-02"))(zz <- z[2] - z[1])(zzz <- z[1] + zz)stopifnot(identical(zzz, z[2]),identical(zz + z[1], z[2]),identical(z[2] - zz, z[1]))## failed/gave wrong answers when Ops.difftime was introduced.## quantiles, new possibilities in 2.11.0x <- ordered(1:11, labels=letters[1:11])quantile(x, type = 1)quantile(x, type = 3)st <- as.Date("1998-12-17")en <- as.Date("2000-1-7")ll <- seq(as.Date("2000-1-7"), as.Date("1997-12-17"), by="-1 month")quantile(ll, type = 1)quantile(ll, type = 3)## failed prior to 2.11.0## (asymptotic) point estimate in wilcox.test(*, conf.int=TRUE)alt <- eval(formals(stats:::wilcox.test.default)$alternative)Z <- c(-2, 0, 1, 1, 2, 2, 3, 5, 5, 5, 7)E1 <- sapply(alt, function(a.)wilcox.test(Z, conf.int = TRUE,alternative = a., exact = FALSE)$estimate)X <- c(6.5, 6.8, 7.1, 7.3, 10.2)Y <- c(5.8, 5.8, 5.9, 6, 6, 6, 6.3, 6.3, 6.4, 6.5, 6.5)E2 <- sapply(alt, function(a.)wilcox.test(X,Y, conf.int = TRUE,alternative = a., exact = FALSE)$estimate)stopifnot(E1[-1] == E1[1],E2[-1] == E2[1])## was continiuity corrected, dependent on 'alternative', prior to 2.10.1## read.table with embedded newlines in header (PR#14103)writeLines(c('"B1', 'B2"', 'B3'), "test.dat")z <- read.table("test.dat", header = TRUE)unlink("test.dat")stopifnot(identical(z, data.frame("B1.B2"="B3")))## Left part of header to be read as data in R < 2.11.0## switch() with empty '...'stopifnot(is.null(switch("A")),is.null(switch(1)), is.null(switch(3L)))## the first one hung, 2nd gave error, in R <= 2.10.1## factors with NA levelsV <- addNA(c(0,0,NA,0,1,1,0,NA,1,1))stopifnot(identical(V, V[, drop = TRUE]))stopifnot(identical(model.frame(~V), model.frame(~V, xlev = list(V=levels(V)))))# dropped NA levels (in two places) in 2.10.1V <- c(0,0,NA,0,1,1,0,NA,1,1)stopifnot(identical(V, V[, drop = TRUE]))stopifnot(identical(model.frame(~V), model.frame(~V, xlev = list(V=levels(V)))))## check other cases have not been changed## ks.test gave p=1 rather than p=0.9524 because abs(1/2-4/5)>3/10 was TRUEstopifnot(all.equal(ks.test(1:5, c(2.5,4.5))$p.value, 20/21))## NAs in utf8ToInt and v.v.stopifnot(identical(utf8ToInt(NA_character_), NA_integer_),identical(intToUtf8(NA_integer_), NA_character_),identical(intToUtf8(NA_integer_, multiple = TRUE), NA_character_))## no NA-handling prior to 2.11.0## tcrossprod() for matrix - vector combinationu <- 1:3 ; v <- 1:5## would not work identically: names(u) <- LETTERS[seq_along(u)]U <- as.matrix(u)stopifnot(identical(tcrossprod(u,v), tcrossprod(U,v)),identical(tcrossprod(u,v), u %*% t(v)),identical(tcrossprod(v,u), tcrossprod(v,U)),identical(tcrossprod(v,u), v %*% t(u)))## tcrossprod(v,U) and (U,v) wrongly failed in R <= 2.10.1## det() and determinant() in NA casesm <- matrix(c(0, NA, 0, NA, NA, 0, 0, 0, 1), 3,3)m0 <- rbind(0, cbind(0, m))if(FALSE) { ## ideally, we'd want -- FIXME --stopifnot(is.na(det(m)), 0 == det(m0))} else print(c(det.m = det(m), det.m0 = det(m0)))## the first wrongly gave 0 (still gives .. FIXME)## c/rbind(deparse.level=2)attach(mtcars)(cn <- colnames(cbind(qsec, hp, disp)))stopifnot(identical(cn, c("qsec", "hp", "disp")))(cn <- colnames(cbind(qsec, hp, disp, deparse.level = 2)))stopifnot(identical(cn, c("qsec", "hp", "disp")))(cn <- colnames(cbind(qsec, log(hp), sqrt(disp))))stopifnot(identical(cn, c("qsec", "", "")))(cn <- colnames(cbind(qsec, log(hp), sqrt(disp), deparse.level = 2)))stopifnot(identical(cn, c("qsec", "log(hp)", "sqrt(disp)")))detach()## 2.10.1 gave no column names for deparse.level=2## Infinite-loops with match(incomparables=)match(c("A", "B", "C"), "A", incomparables=NA)match(c("A", "B", "C"), c("A", "B"), incomparables="A")## infinite-looped in 2.10.1## path.expand did not propagate NAstopifnot(identical(c("foo", NA), path.expand(c("foo", NA))))## 2.10.1 gave "NA"## prettyNum(drop0trailing=TRUE) mangled complex values (PR#14201)z <- c(1+2i, 1-3i)str(z) # a userstopifnot(identical(format(z, drop0trailing=TRUE), as.character(z)))## 2.10.1 gave 'cplx [1:2] 1+2i 1+3i'## "exact" fisher.testdd <- data.frame(group=1, score=c(rep(0,14), rep(1,29), rep(2, 16)))[rep(1:59, 2),]dd[,"group"] <- c(rep("DOG", 59), rep("kitty", 59))Pv <- with(dd, fisher.test(score, group)$p.value)stopifnot(0 <= Pv, Pv <= 1)## gave P-value 1 + 1.17e-13 in R < 2.11.0## Use of switch inside lapply (from BioC package ChromHeatMap)lapply("forward", switch, forward = "posS", reverse = "negS")## failed when first converted to primitive.## evaluation of arguments of log2assertError(tryCatch(log2(quote(1:10))))## 'worked' in 2.10.x by evaluting the arg twice.## mean with NAs and trim (Bill Dunlap,## https://stat.ethz.ch/pipermail/r-devel/2010-March/056982.html)stopifnot(is.na(mean(c(1,10,100,NA), trim=0.1)),is.na(mean(c(1,10,100,NA), trim=0.26)))## gave error, real value respectively in R <= 2.10.1## all.equal(*, tol) for objects with numeric attributesa <- structure(1:17, xtras = c(pi, exp(1)))b <- a * (II <- (1 + 1e-7))attr(b,"xtras") <- attr(a,"xtras") * IIstopifnot(all.equal(a,b, tolerance = 2e-7))## gave "Attributes: .... relative difference: 1e-07" in R <= 2.10.x## Misuse of gzcon() [PR# 14237](ac <- getAllConnections())tc <- textConnection("x", "w")try(f <- gzcon(tc)) # -> error.. but did *damage* tcnewConn <- function(){ A <- getAllConnections(); A[is.na(match(A,ac))] }(newC <- newConn())gg <- tryCatch(getConnection(newC), error=identity)stopifnot(identical(gg, tc))close(tc)stopifnot(length(newConn()) == 0)## getConn..(*) seg.faulted in R <= 2.10.x## splinefun(., method = "monoH.FC")x <- 1:7 ; xx <- seq(0.9, 7.1, length=2^12)y <- c(-12, -10, 3.5, 4.45, 4.5, 140, 142)Smon <- splinefun(x, y, method = "monoH.FC")stopifnot(0 <= min(Smon(xx, deriv=1)))## slopes in [4.4, 4.66] were slightly negative, because m[] adjustments## could be sightly off in cases of adjacency, for R <= 2.11.0## prettyDate( <Date> )x <- as.Date("2008-04-22 09:45") + 0:5px <- pretty(x, n = 5)stopifnot(px[1] == "2008-04-22", length(px) == 6)## did depend on the local timezone at first## cut( d, breaks = n) - for d of class 'Date' or 'POSIXt'x <- seq(as.POSIXct("2000-01-01"), by = "days", length = 20)stopifnot(nlevels(c1 <- cut(x, breaks = 3)) == 3,nlevels(c2 <- cut(as.POSIXlt(x), breaks = 3)) == 3,nlevels(c3 <- cut(as.Date(x), breaks = 3)) == 3,identical(c1, c2))## failed in R <= 2.11.0## memDecompress (https://stat.ethz.ch/pipermail/r-devel/2010-May/057419.html)char <- paste(replicate(200, "1234567890"), collapse="")char.comp <- memCompress(char, type="xz")char.dec <- memDecompress(char.comp, type="xz", asChar=TRUE)stopifnot(nchar(char.dec) == nchar(char))## short in R <= 2.11.0## rbeta() with mass very close to 1 -- bug PR#14291set.seed(1)if(any(ii <- is.na(rbeta(5000, 100, 0.001))))stop("rbeta() gave NAs at ", paste(which(ii), collapse=", "),"\n")## did give several, but platform dependently, in R <= 2.11.0## print.ls_str() should not eval() some objectsE <- environment((function(miss){i <- o <- cl <- NULL;function(){}})())E$i <- 2:4E$o <- as.name("foobar")E$cl <- expression(sin(x))[[1]]ls.str(E)## 'o' failed in R <= 2.11.0 (others in earlier versions of R)## print() {& str()} should distinguish named empty listsstopifnot(identical("named list()",capture.output(list(.=2)[0])))## was just "list()" up to R <= 2.11.x## stripchart with empty first level (PR#14317)stripchart(decrease ~ treatment, data = OrchardSprays,subset = treatment != "A")## failed in 2.11.1## versions of pre-2.12.0 using zlib 1.2.[45] failedzz <- gzfile("ex.gz", "w") # compressed filecat("TITLE extra line", "2 3 5 7", "", "11 13 17", file = zz, sep ="\n")close(zz)blah <- file("ex.gz", "r")stopifnot(seek(blah) == 0)## gave random large multiple of 2^32 on Linux systems attempting to## use LFS support.## pre-2.12.0 wrongly accessed 0-length entrieso0 <- as.octmode(integer(0))stopifnot(identical(o0, o0 & "400"))## gave a seg.fault at some point## as.logical on factorsx <- factor(c("FALSE", "TRUE"))stopifnot(identical(as.logical(x), c(FALSE, TRUE)))# Lost documented behaviour when taken primitive in R 2.6.0stopifnot(identical(as.vector(x, "logical"), c(FALSE, TRUE)))# continued to work## Reverted in 2.12.0.## missing backquoting of default arguments in in prompt()f <- function (FUN = `*`) {}pr <- prompt(f, NA)$usagestopifnot(identical(pr[2], "f(FUN = `*`)"))## see https://stat.ethz.ch/pipermail/r-devel/2010-August/058126.html## cut.POSIXt very near boundaries (PR#14351)x <- as.POSIXlt("2010-08-10 00:00:01")stopifnot(!is.na(cut(x, "5 hours")))## was NA in 2.11.x## summary() on data frames with invalid names -- in UTF-8 localeDF <- data.frame(a = 1:3, b = 4:6)nm <- names(DF) <- c("\xca", "\xcb")cn <- gsub(" ", "", colnames(summary(DF)), useBytes = TRUE)stopifnot(identical(cn, nm))m <- as.matrix(DF)DF <- data.frame(a = 1:3, m=I(m))cn <- gsub(" ", "", colnames(summary(DF)), useBytes = TRUE)stopifnot(identical(cn, c("a", paste("m.", nm, sep="", collapse=""))))## Had NAs in < 2.12.0## [[<- could create invalid objects,## https://stat.ethz.ch/pipermail/r-devel/2010-August/058312.htmlz0 <- z <- factor(c("Two","Two","Three"), levels=c("One","Two","Three"))z[[2]] <- "One"stopifnot(typeof(z) == "integer")z[[2]] <- "Two"stopifnot(identical(z, z0))## failed < 2.12.0## predict.loess with NAscars.lo <- loess(dist ~ speed, cars)res <- predict(cars.lo, data.frame(speed = c(5, NA, 25)))stopifnot(length(res) == 3L, is.na(res[2]))res <- predict(cars.lo, data.frame(speed = c(5, NA, 25)), se = TRUE)stopifnot(length(res$fit) == 3L, is.na(res$fit[2]),length(res$se.fit) == 3L, is.na(res$se.fit[2]))cars.lo2 <- loess(dist ~ speed, cars, control = loess.control(surface = "direct"))res <- predict(cars.lo2, data.frame(speed = c(5, NA, 25)))stopifnot(length(res) == 3L, is.na(res[2]))res <- predict(cars.lo2, data.frame(speed = c(5, NA, 25)), se = TRUE)stopifnot(length(res$fit) == 3L, is.na(res$fit[2]),length(res$se.fit) == 3L, is.na(res$se.fit[2]))## Used na.omit prior to 2.12.0## student typotry( ksmooth(cars$speed, cars$dists) )## now error about y (== NULL); segfaulted <= 2.11.1## do.call()ing NextMethod and empty args:try( do.call(function(x) NextMethod('foo'),list()) )## segfaulted <= 2.11.1## identical() returned FALSE on external ptr with## identical addresses <= 2.11.1## Example with getNativeSymbolInfo no longer relevant## getNamespaceVersion() etcstopifnot(getNamespaceVersion("stats") == getRversion())## failed in R 2.11.x## PR#14383x <- rnorm(100)z1 <- quantile(x, type = 6, probs = c(0, .5))z2 <- quantile(x, type = 6, probs = c(.5, 0))stopifnot(z1 == rev(z2))## differed in 2.11.x## backSpline() with decreasing knot locationsrequire(splines)d1 <- c(616.1, 570.1, 523.7, 477.3, 431.3, 386.2, 342.4, 300.4, 260.4,222.7, 187.8, 155.7, 126.7, 100.8, 78.1, 58.6, 42.2, 28.7,18.1, 10.2)r1 <- c(104.4, 110 , 115.5, 121, 126.6, 132.1, 137.7, 143.2, 148.8,154.3, 159.9, 165.4, 170.9, 176.5, 182, 187.6, 193.1, 198.7,204.2, 209.8)sp1 <- interpSpline(r1,d1)# 'x' as function of 'y' (!)psp1 <- predict(sp1)bsp1 <- backSpline(sp1)dy <- diff(predict(bsp1, .5 + 18:30)$y)stopifnot(-.9 < dy, dy < -.35)## failed in R <= 2.11.x: "bizarre jumps"detach("package:splines")## PR#14393f <- factor(c(NA, 1, 2), levels = 1:3, labels = 1:3)mf <- model.frame(~ f, na.action = na.pass, drop.unused.levels = TRUE)stopifnot(identical(mf$f, f[,drop=TRUE]))## failed to drop < 2.12.0## problem with deparsing variable names of > 500 bytes in model.frame## reported by Terry Therneau to R-devel, 2010-10-07tname <- paste('var', 1:50, sep='')tmat <- matrix(rnorm(500), ncol=50, dimnames=list(NULL, tname))tdata <- data.frame(tmat)temp1 <- paste( paste(tname, tname, sep='='), collapse=', ')temp2 <- paste("~1 + cbind(", temp1, ")")foo <- model.frame(as.formula(temp2), tdata)## gave invalid variable name.## subassignment to expressions sometimes coerced them to lists.x1 <- x2 <- x3 <- expression(a = pi, b = pi^2)x1["b"] <- expression(pi^3)stopifnot(is.expression(x1)) # OKx1["a"] <- NULLstopifnot(is.expression(x1))x2[["b"]] <- quote(pi^3)stopifnot(is.expression(x2)) # OKx2[["a"]] <- NULLstopifnot(is.expression(x2))x3$a <- NULLstopifnot(is.expression(x3))## coerced to lists## predict on an lm object with type = "terms" and 'terms' specifieddat <- data.frame(y=log(1:10), x=1:10, fac=rep(LETTERS[11:13],c(3,3,4)))fit <- lm(y~fac*x, data=dat)pfit <- predict(fit, type="terms", interval="confidence", newdata=dat[7:5,])pfit2 <- predict(fit, type="terms", terms=c("x","fac"),interval="confidence", newdata=dat[7:5,])pfit2Expected <- lapply(pfit,function(x)if(is.matrix(x))structure(x[, c("x","fac")], constant=attr(x, "constant"))else x)stopifnot(identical(pfit2, pfit2Expected))## pfit2 failed, and without 'interval' gave se's for all terms.## TRE called assert() on an invalid regexp (PR#14398)try(regexpr("a{2-}", ""))## terminated R <= 2.12.0## ! on zero-length objects (PR#14244)M <- matrix(FALSE, 0, 2)stopifnot(identical(attributes(!M), attributes(M)))# and for back compatibiility!list() # logical(0)## dropped all attributes in 2.12.0## Preserve intercepts in drop.termstt <- terms(~ a + b - 1)tt2 <- terms(~ b - 1)stopifnot(identical(drop.terms(tt, 1), tt2))stopifnot(identical(tt[2], tt2))stopifnot(identical(tt[1:2], tt))## reset intercept term < R 2.13.0## Test new defn of cmdscale()mds <- cmdscale(eurodist, eig = TRUE, k = 14)stopifnot(ncol(mds$points) < 14L) # usually 11.## Used negative eigenvalues in 2.12.0## Sweave regression test moved to utils/tests.## mapply() & sapply() should not simplify e.g. for "call":f2 <- function(i,j) call(':',i,j)stopifnot(identical(2:3,dim(sapply(1:3, function(i) list(0, 1:i)))),length(r <- mapply(1:2, c(3,7), FUN= f2)) == 2,length(s <- sapply(1:3, f2, j=7)) == 3)## length wrongly were 6 and 9, in R <= 2.12.0## 'sep' in reshape() (PR#14335)test <- data.frame(x = rnorm(100), y = rnorm(100), famid = rep(1:50, each=2),time = rep(1:2, 50))wide <- reshape(data = test, v.names = c("x", "y"), idvar = "famid",timevar = "time", sep = "", direction = "wide")stopifnot(identical(names(wide), c("famid", "x1", "y1", "x2", "y2")))## was c("famid", "x.1", "y.1", "x.2", "y.2") in R <= 2.12.0## PR#14438X <- matrix(0+1:10, ncol = 2)[, c(1,1,2,2)]colnames(X) <- c("X1","Dup1", "X2", "Dup2")X2 <- qr.X(qr(X))X2identical(colnames(X), colnames(X2))## failed to pivot colnames in R <= 2.12.0## improvements to aggregate.data.frame in 2.13.0a <- data.frame(nm = c("a", "b", "a", "b"), time = rep(Sys.time(), 4))b <- with(a, aggregate(time, list(nm=nm), max))stopifnot(inherits(b$x, "POSIXt"))#### pretty(<only non-finite>) PR#14468stopifnot(length(pretty(-2:1 / 0)) == 0)## gave an error in R <= 2.12.1## revised behaviour of as.POSIXlt in R 2.13.0x <- c("2001-02-03", "2001-02-03 04:05")stopifnot(identical(as.POSIXlt(x), rev(as.POSIXlt(rev(x)))))## used different formats earlier## seq.Date could overshootx <- seq(as.Date("2011-01-07"), as.Date("2011-03-01"), by = "month")stopifnot(length(x) == 2)x <- seq(as.POSIXct("2011-01-07"), as.POSIXct("2011-03-01"), by = "month")stopifnot(length(x) == 2)## was 3 in R < 2.13.0## mostattributes<- now sometimes works for data frames (PR#14469)x <- womenmostattributes(x) <- attributes(women) # did not set names in R < 2.13.0## but there are still problems with row.names (see the help)## naresid.exclude when all cases have been omitted## (reported by Simon Wood to R-help, 2011-01-14)x <- NA_real_na.act <- na.action(na.exclude(x))z <- naresid(na.act, rep(0, 0))stopifnot(identical(z, x))## gave length-0 result## weighted.residuals did not work correctly with mlm fits## see https://stat.ethz.ch/pipermail/r-devel/2011-January/059642.htmld4 <- data.frame(y1=1:4, y2=2^(0:3), wt=log(1:4), fac=LETTERS[c(1,1,2,2)])fit <- lm(data=d4, cbind(y1,y2)~fac, weights=wt)wtr <- weighted.residuals(fit)stopifnot(identical(dim(wtr), 3:2))## dropped dims in 2.12.1## ccf did not work with na.action=na.pass## https://stat.ethz.ch/pipermail/r-help/2011-January/265992.htmlz <- matrix(rnorm(50),,2); z[6,] <- NA; z <- ts(z)acf(z, na.action=na.pass, plot = FALSE)ccf(z[,1], z[,2], na.action=na.pass, plot=FALSE)## failed in 2.12.1## tests of append mode on compressed connections.tf <- tempfile(); con <- gzfile(tf, "w")writeLines(as.character(1:50), con)close(con); con <- gzfile(tf, "a")writeLines(as.character(51:70), con)close(con)stopifnot(length(readLines(tf)) == 70)unlink(tf)con <- bzfile(tf, "w")writeLines(as.character(1:50), con)close(con); con <- bzfile(tf, "a")writeLines(as.character(51:70), con)close(con)stopifnot(length(readLines(tf)) == 70)unlink(tf)con <- xzfile(tf, "w")writeLines(as.character(1:50), con)close(con); con <- xzfile(tf, "a")writeLines(as.character(51:70), con)close(con)stopifnot(length(readLines(tf)) == 70)unlink(tf)## bzfile warned and did not work R < 2.13.0## NA_complex_ in prettyNum()format(c(pi+0i, NA), drop0 = TRUE)prettyNum(NA_complex_, drop0 = TRUE)## gave errors in R < 2.12.2## Map() needed to call match.fun() itself (PR#14495)local({a <- sum; Map("a", list(1:5))})## failed R < 2.13.0## correct format() / rounding, print()ing -- (PR#14491)stopifnot(format.info(7.921, digits=2) == c(3,1,0),format.info(5.9994001, digits=4) == c(5,3,0))## gave (1, 0, 0) in all R versions < 2.13.0stopifnot(identical(format(0.2204, digits=3), "0.22"))## gave "0.220" previously## regression test for PR#14517try(unzip('non-existing_file.zip', list=TRUE, unzip="internal"))## crashed on some platforms in pre-2.13.0## plot.formula(*, data=<matrix>) etcA <- data.matrix(anscombe)plot (y1 ~ x1, data = A, main = "Anscombe's first two sets")points(y2 ~ x2, data = A, col=2, pch=2)lines (y2 ~ x2, data = A, lwd=2, col="gray")## using a matrix failed in R < 2.13.0 *when* there was an extra argument## PR#14530dfA <- data.frame(A=1:2, B=3:4, row.names=letters[1:2])dfB <- dfA[2:1,]res <- try(data.frame(dfA, dfA[2:1,], check.rows=TRUE))stopifnot(inherits(res, "try-error"))## 'worked' in 2.12.2.## uniroot(f,..) when f(.) == -Inf :## now play with different g(.)'s ..g <- function(x) exp( 5*sign(x)*abs(x)^2.1 )if(FALSE) { ## if you want to see how it *did* go wrong:ff1 <- function(x) {r <- log(g(x)); print(c(x,r)); r}str(ur <- uniroot(ff1, c(-90,100)))}assertWarning(uniroot(function(x) log(g(x)), c(-90,100)))str(ur <- uniroot(function(x) log(g(x)), c(-90,100)))# -> 2 warnings .. -Inf replaced ..stopifnot(abs(ur$root) < 0.001)## failed badly in R < 2.13.0, as -Inf was replaced by +1e308## as.matrix.distx <- matrix(,0,0)d <- dist(x)as.matrix(d)## Threw an error < 2.13.0## smooth.spline with data with a very small range. (PR#14552)dt <- seq(as.POSIXct("2011-01-01"), as.POSIXct("2011-01-01 10:00:00"), by="min")x <- as.double(dt)y <- sin(seq_along(x) * 3 * pi/180)s <- smooth.spline(x, y)stopifnot(length(s$x) == length(x))## Chose 5 distinct values of x in 2.13.0## readBin on a raw connectionrawcon <- rawConnection(as.raw(101:110))res <- readBin(rawcon, what="integer", size=1, n=4)close(rawcon)stopifnot(identical(res, 101:104))## read the same value repeatedly in 2.13.0## Types of closure bodiesfun <- eval(substitute(function() x, list(x = environment())))body(fun)# an external pointery <- file(""); z <- attr(y, "conn_id"); close(y)fun <- eval(substitute(function() x, list(x = z)))body(fun)## not allowed in R < 2.14.0.## Corner cases for signif() and round()x <- pi^(-6:6)stopifnot(identical(signif(x, -Inf), signif(x, 1L))) # zero in R < 2.14.0stopifnot(identical(round(x, -Inf), rep(0, length(x)))) # NAs in R < 2.14.0#### (un)stack with character columnsDF <- data.frame(a = letters[1:3], b = letters[4:6], stringsAsFactors = FALSE)DF2 <- stack(DF)stopifnot(class(DF2$values) == "character") # was factorDF3 <- unstack(DF2) # contained factorsstopifnot(all(sapply(DF3, class) == "character"))DF4 <- stack(DF[1])stopifnot(identical(unstack(DF4), DF[1])) # was a list## issues in R < 2.14.0## PR#14710 (an instance of PR#8528)stopifnot(!is.na(qchisq(p=0.025, df=0.00991)))## NaN in 2.13.2## nobs() for zero-weight glm fits:DF <- data.frame(x1=log(1:10), x2=c(1/(1:9), NA), y=1:10,wt=c(0,2,0,4,0,6,7,8,9,10))stopifnot(nobs(lm(y ~ x1 + x2, weights = wt, data=DF)) ==nobs(glm(y ~ x1 + x2, weights = wt, data = DF)))## was 6 and 9 in R < 2.14.1.## anyDuplicated(*, MARGIN=0)m. <- m <- cbind(M = c(3,2,7,2),F = c(6,2,7,2))rownames(m.) <- LETTERS[1:4]; m.stopifnot(identical(attributes(dm <- duplicated(m., MARGIN=0)),attributes(m.)),(dvm <- duplicated(as.vector(m.))) == dm, # all TRUEidentical(anyDuplicated( m., MARGIN=0),anyDuplicated(as.vector(m.), MARGIN=0)))## gave error in R < 2.14.1## PR#14739stopifnot(!is.nan(pbinom(10, 1e6, 0.01, log.p=TRUE)))## was NaN thanks to Maechler's misuse of toms708 in 2.11.0.## PR14742stopifnot(identical(duplicated(data.frame(c(1, 1)), fromLast = TRUE),duplicated(c(1, 1), fromLast = TRUE)))## first ignored fromLast in 2.14.0.## str(*, list.len, strict.width=.):dm <- as.data.frame(matrix( rnorm(10000), nrow=50, ncol=200))calls <- list(quote( str(dm, list.len= 7)),quote( str(dm, list.len= 7, digits=10, width=88, strict.width='no')),quote( str(dm, list.len= 7, digits=10, width=88, strict.width='cut')))ee <- lapply(calls, function(cl) capture.output(eval(cl)))stopifnot(sapply(ee, length) == 1 + 7 + 1)## with 'list.len' was not used with 'strict.width="cut"' in R <= 2.14.1## Tests of serialization (new internal code in 2.15.0)input <- pi^(1:10)stopifnot(identical(input, unserialize(serialize(input, NULL))))stopifnot(identical(input, unserialize(serialize(input, NULL, xdr = FALSE))))z <- pi+ 3*1iinput <- z^(1:10)stopifnot(identical(input, unserialize(serialize(input, NULL))))stopifnot(identical(input, unserialize(serialize(input, NULL, xdr = FALSE))))input <- matrix(1:1000000, 1000, 1000)stopifnot(identical(input, unserialize(serialize(input, NULL))))stopifnot(identical(input, unserialize(serialize(input, NULL, xdr = FALSE))))z <- paste(readLines(file.path(R.home("doc"), "COPYING")), collapse="\n")input <- charToRaw(z)stopifnot(identical(input, unserialize(serialize(input, NULL))))serialize(input, con <- file("serial", "wb")); close(con)res <- unserialize(con <- file("serial", "rb")); close(con)stopifnot(identical(input, res))unlink("serial")## Just a test for possible regressions.## mis-PROTECT()ion in printarray C code:df <- data.frame(a=1:2080, b=1001:2040, c=letters, d=LETTERS, e=1:1040)stopifnot(length(df.ch <- capture.output(df)) == 1+nrow(df))## "cannot allocate memory block of size 17179869183.6 Gb" in R <= 2.14.1## logic in one of the many combinations of predict.lm() computationsfit <- lm(mpg ~ disp+hp, data=mtcars)r <- predict(fit, type="terms", terms = 2, se.fit=TRUE)stopifnot(dim(r$se.fit) == c(nrow(mtcars), 1))## failed in R <= 2.14.1## format.POSIXlt(x) for wrong xd0 <- strptime(as.Date(logical(0)), format="%Y-%m-%d", tz = "GMT")d0$mday <- 1try(format(d0))## crashed (Arithmetic exception) for R <= 2.14.1## options("max.print") :tools::assertCondition(options(max.print = Inf), "warning") # and then errorassertError(options(max.print = -2))tools::assertCondition(options(max.print = 1e100), "warning")## gave only warnings (every print() time, ...) in R <= 2.14.2## attributes with units<- (PR#14839)tt <- structure(500, units = "secs", class = "difftime", names = "a")ttunits(tt) <- "mins"ttstopifnot(identical(names(tt), "a"))## R < 2.15.0 changed the name, but then it was not documented to be kept.## predict( VAR(p >= 2) )set.seed(42)u <- matrix(rnorm(200), 100, 2)y <- filter(u, filter=0.8, "recursive")est <- ar(y, aic = FALSE, order.max = 2) ## Estimate VAR(2)xpred <- predict(object = est, n.ahead = 100, se.fit = FALSE)stopifnot(dim(xpred) == c(100, 2), abs(range(xpred)) < 1)## values went to +- 1e23 in R <= 2.14.2## regression tests for merged1 <- data.frame(a = 1:10, b = 1:10, b.x = 10:1)d2 <- data.frame(a = 1:10, b = 101:110)op <- options(warn = 2)z <- try(merge(d1, d2, by = 'a'))stopifnot(inherits(z, "try-error"))merge(d1, d2, by = 'a', suffixes = c("", ".y"))z <- try(merge(d1, d2, by = 'a', suffixes = c(".z", ".z")))stopifnot(inherits(z, "try-error"))options(op)# First 'worked' in R < 2.15.0, second was disallowed in early 2012,# third 'worked' in R < 2.15.1.# example based on package SDMTools::compare.matrix# where 'by' is ambiguous.x <- expand.grid(x = 1:2, y = 1:2)y <- data.frame(x = c(1,2,1,2), y = c(1,1,2,2), z = c(5040,128,1123,3709))merge(x, y, all = TRUE)names(y)[3] <- "x"stopifnot(inherits(try(merge(x, y, all = TRUE)), "try-error"))## 'worked' in R < 2.15.1.## misuse of seq() by package 'plotrix'stopifnot(inherits(try(seq(1:50, by = 5)), "try-error"))## gave 1:50 in R < 2.15.1, with warnings from seq().## regression test for PR#14850 (misuse of dim<-)b <- a <- matrix(1:2, ncol = 2)`dim<-`(b, c(2, 1))stopifnot(ncol(a) == 2)## did not duplicate.## deparsing needs escape characters in names (PR#14846)f <- function(x) switch(x,"\\dbc"=2,3)parse(text=deparse(f))## Gave error about unrecognized escape## hclust()'s original algo was not ok for "median" (nor "centroid") -- PR#4195n <- 12; p <- 3set.seed(46)d <- dist(matrix(round(rnorm(n*p), digits = 2), n,p), "manhattan")d[] <- d[] * sample(1 + (-4:4)/100, length(d), replace=TRUE)hc <- hclust(d, method = "median")stopifnot(all.equal(hc$height[5:11],c(1.70595, 1.657675, 1.8909, 1.619973438,1.548624609, 3.097474902, 6.097159351),tolerance = 1e-9))## Also ensure that hclust() remains fast:set.seed(1); nn <- 2000tm0 <- system.time(dst <- as.dist(matrix(runif(n = nn^2, min = 0, max = 1)^1.1, nn, nn)))(tm <- system.time(hc <- hclust(dst, method="average")))stopifnot(tm[1] <= tm0[1])## was slow from R 1.9.0 up to R 2.15.0## 'infinity' partially matched 'inf'stopifnot(as.numeric("infinity") == Inf)## was NA in R < 2.15.1## by() failed for a 0-row data frameb <- data.frame(ppg.id=1, predvol=2)a <- b[b$ppg.id == 2, ]by(a, a["ppg.id"], function(x){vol.sum = numeric()id = integer();if(dim(x)[1] > 0) {id = x$ppg.id[1]; vol.sum = sum(x$predvol)}data.frame(ppg.id=id, predVolSum=vol.sum)})## failed in 2.15.0## model.frame.lm could be fooled if factor levels were re-orderedA <- warpbreaksfm1 <- lm(breaks ~ wool*tension, data = A, model = TRUE)fm2 <- lm(breaks ~ wool*tension, data = A, model = FALSE)A$tension <- factor(warpbreaks$tension, levels = c("H", "M", "L"))stopifnot(identical(model.frame(fm1), model.frame(fm2)))stopifnot(identical(model.frame(fm1), model.frame(fm1, data = A)))stopifnot(identical(model.matrix(fm1), model.matrix(fm2)))## not true before 2.15.2## model.frame.lm did not make use of predvarslibrary(splines)fm <- lm(weight ~ ns(height, 3), data = women)m1 <- model.frame(fm)[1:3, ]m2 <- model.frame(fm, data = women[1:3, ])# attributes will differstopifnot(identical(as.vector(m1[,2]), as.vector(m2[,2])))## differed in R < 2.15.2## JMC's version of class<- did not work as documented. (PR#14942)x <- 1:10class(x) <- character()class(x) <- "foo"class(x) <- character()oldClass(x) <- "foo"oldClass(x) <- character()## class<- version failed: required NULL## anova.lmlist could fail (PR#14960)set.seed(1)y <- rnorm(20)x <- rnorm(20)f <- factor(rep(letters[1:2], each = 10))model1 <- lm(y ~ x)model2 <- lm(y ~ x + f)anova(model1, model2, test = "F")#### regression test for sunflowerplot's formula methodsunflowerplot( Sepal.Length ~ Sepal.Width, data = iris, xlab = "A")## failed in 2.15.1## misuse of allocafor(n in c(200, 722, 1000)) x <- rWishart(1, n, diag(n))## failed in various ways in R <= 2.15.1## undocumented used of rep(NULL), from matplot()stopifnot(identical(rep(NULL, length.out = 4), NULL))## now gives a warning.## PR14974a.factor <- as.factor(rep(letters[1:2], 2))b.factor <- as.factor(rep(c(1:2), each = 2))y <- cbind(aa = as.character(a.factor), bb = b.factor)data1 <- data.frame(a.factor, b.factor, y = NA)data1$y <- y # inserts a matricdata1 <- subset(data1, !((a.factor == "b") & (b.factor == 2))) # Delete rowfactorial.data <- data.frame(a.factor, b.factor, row = 1:length(b.factor))ans <- merge(factorial.data, data1, by = c("a.factor", "b.factor"),all.x = TRUE)stopifnot(is.na(ans[["y"]][4,]))## only set the first column of ans[["y"]] to NA.## PR14967stopifnot(qgeom(1e-20, prob = 0.1) >= 0)## was -1 in R 2.15.1## Regression test for r60116:7(p1 <- parse(text="exp(-0.5*u**2)", srcfile=NULL))(p2 <- parse(text="exp(-0.5*u^2)", srcfile=NULL))stopifnot(identical(p1, p2))## p1 was expression(exp((-0.5 * u)^2))## backsolve with k < nrows(rhs)r <- rbind(c(1,2,3),c(0,1,1),c(0,0,2))b <- c(8,4,2,1)x <- backsolve(r, cbind(b,b))stopifnot(identical(x[,1], x[,2]))## 2.15.1 used elements (4,1), (2,1), (2,2) for second column.## Matrix oddly assumes that solve() drops NULL dimanmesA <- diag(3)dimnames(A) <- list(NULL, NULL)sA <- solve(A)stopifnot(is.null(dimnames(sA)))# and expm inverts a logical matrix, even though this is not as documented.Q <- matrix(c(FALSE, TRUE, TRUE, FALSE), 2, 2)is.numeric(Q) # FALSEsolve(Q)## failed in R-devel, which interpreted 'numeric' correctly.## tests of rowsum() with names and for factor groupsset.seed(123)x <- matrix(runif(100), ncol=5)group <- sample(1:8, 20, TRUE)(xsum <- rowsum(x, group))colnames(x) <- letters[16:20](xsum <- rowsum(x, group))rowsum(as.data.frame(x), group)group <- factor(group)(xsum <- rowsum(x, group))stopifnot(sapply(dimnames(xsum), is.character))rowsum(as.data.frame(x), group)## one version had factor row names.## Rather pointless usage in PR#15044set.seed(42)n <- 10y <- rnorm(n)x <- rnorm(n)w <- rep(0, n)lm.wfit(cbind(1, x), y, w)## segfaulted in 2.15.1, only## as.data.frame() methods should preferably not barf on an 'nm' arg## reported by Bill Dunlap## (https://stat.ethz.ch/pipermail/r-devel/2012-September/064848.html)as.data.frame(1:10, nm = "OneToTen")as.data.frame(LETTERS[1:10], nm = "FirstTenLetters")as.data.frame(LETTERS[1:10])## second failed in 2.15.1.## Test of stack direction (related to PR#15011)f <- function(depth) if(depth < 20) f(depth+1) else Cstack_info()(z <- f(0))z10 <- f(10)if(is.na(z[2]) || is.na(z10[2])) {message("current stack size is not available")} else stopifnot(z[2] > z10[2])## Previous test ould be defeated by compiler optimization.##options(max.print = .Machine$integer.max)1 ## segfaulted because of integer overflowstopifnot(identical(.Machine$integer.max, getOption("max.print")))#### corner cases for arima.sim(), in part PR#15068stopifnot(length(arima.sim(list(order = c(0,0,0)), n = 10)) == 10)stopifnot(inherits(try(arima.sim(list(order = c(1,0,0), ar = 0.7), n = 0)),"try-error"))## one too long in R < 2.15.2## maintainer()maintainer('stats')maintainer("impossible_package_name")## gave an error in R < 2.15.2## PR#15075 and morestopifnot(is.finite(c(beta(0.01, 171), beta(171, 0.01), beta(1e-200, 1e-200))))## each overflowed to +Inf during calculations in R <= 2.15.2## PR#15077default <- 1; z <- eval(bquote(function(y = .(default)) y))zz <- function(y = 1) ystopifnot(identical(args(z), args(zz))) # zz has attributes## was not substituted in R <= 2.15.2## PR#15098x <- list()x[1:2] <- list(1)x[[1]][] <- 2 # change part of first component of xx # second component of x should not be affectedstopifnot(identical(x[[2]], 1))# was 2#### 2nd example from Comment #5x <- list()list(1) -> x[1] -> x[2]x[[1]][] <- 2stopifnot(x[[2]] == 1)## was 2, wrongly, as well ..#### 3rd example from Comment #5y <- list(1)x <- list()x[1] <- yx[[1]][] <- 2stopifnot(y[[1]] == 1)## was 2## "NAMED": all three were wrong in 2.4.0 <= R <= 2.15.2## PR#15115a <- as.name("abc")f <- call("==", a, 1L)for (i in 2:5)f <- call("+", f, call("==", a, i))abc <- 2stopifnot(eval(f) == 1)## Was 0 in 2.15.2 because the i was not duplicated## Complex subassignment return value## From: Justin Talbot to R-devel, 8 Jan 2013a <- list( 1 ); b <- (a[[1]] <- a); stopifnot(identical(b, list( 1 )))a <- list(x=1); b <- ( a$x <- a); stopifnot(identical(b, list(x=1)))## both failed in 2.15.2## TukeyHSD with na.omit = na.exclude, see## https://stat.ethz.ch/pipermail/r-help/2012-October/327119.htmlbr <- warpbreaksbr[br$tension == "M", "breaks"] <- NAfit1 <- aov(breaks ~ wool + tension, data = br)TukeyHSD(fit1, "tension", ordered = TRUE)fit2 <- aov(breaks ~ wool + tension, data = br, na.action = na.exclude)(z <- TukeyHSD(fit2, "tension", ordered = TRUE))stopifnot(!is.na(z$tension))## results were NA in R <= 2.15.2## recursive listing of directoriesp <- file.path(R.home("share"),"texmf") # always exists, readablelfri <- list.files(p, recursive=TRUE, include.dirs=TRUE)subdirs <- c("bibtex", "tex")lfnd <- setdiff(list.files(p, all.files=TRUE, no..=TRUE), c(".svn", ".DS_Store"))stopifnot(!is.na(match(subdirs, lfri)), identical(subdirs, lfnd))## the first failed for a few days, unnoticed, in the development version of R## [sd]Quote on 0-length inputs.x <- character(0)stopifnot(identical(sQuote(x), x), identical(dQuote(x), x))## was length one in 2.15.2## aperm(a, <char>) when a has named dimnames:a <- matrix(1:6, 2, dimnames=list(A=NULL, B=NULL))stopifnot(identical(unname(aperm(a, c("B","A"))),matrix(1:6, 3, byrow=TRUE)))# workedassertError(aperm(a, c("C","A")))# fine, but## forgetting one had been detrimental:assertError( aperm(a, "A"))## seg.faulted in 2.15.2 and earlier## enc2utf8 failed on NA in non-UTF-8 locales PR#15201stopifnot(identical(NA_character_, enc2utf8(NA_character_)))## gave "NA" instead of NA_character_## End of regression tests for R < 3.0.0## -------------------------------------proc.time()