R version 3.6.0 Patched (2019-06-07 r76684) -- "Planting of a Tree"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> #### eval / parse / deparse / substitute ...
>
> #### Part 2
> #### ====== Recommended packages allowed .. output tests *sloppily*
>
> source(file.path(Sys.getenv("SRCDIR"), "eval-fns.R"), echo = TRUE)
> pd0 <- function(expr, backtick = TRUE, ...) parse(text = deparse(expr,
+ backtick = backtick, ...))
> id_epd <- function(expr, control = c("all", "digits17"),
+ ...) eval(pd0(expr, control = control, ...))
> dPut <- function(x, control = c("all", "digits17")) dput(x,
+ control = control)
> hasReal <- function(x) {
+ if (is.double(x) || is.complex(x))
+ !all((x == round(x, 3)) | is.na(x))
+ else if (is.logical(x) || is. .... [TRUNCATED]
> isMissObj <- function(obj) identical(obj, alist(a = )[[1]])
> hasMissObj <- function(obj) {
+ if (is.recursive(obj)) {
+ if (is.function(obj) || is.language(obj))
+ FALSE
+ else .... [TRUNCATED]
> check_EPD <- function(obj, show = !hasReal(obj), oNam = deparse(substitute(obj)),
+ control = c("keepInteger", "showAttributes", "keepNA"), not .... [TRUNCATED]
> runEPD_checks <- function(env = .GlobalEnv) {
+ stopifnot(is.environment(env))
+ for (nm in ls(envir = env)) {
+ cat(nm, ": ", sep = .... [TRUNCATED]
> #---------
>
> if(require("Matrix")) withAutoprint({ cat("Trying some Matrix objects, too\n")
+ D5. <- Diagonal(x = 5:1)
+ D5N <- D5.; D5N[5,5] <- NA
+ example(Matrix)
+ ## a subset from example(sparseMatrix) :
+ i <- c(1,3:8); j <- c(2,9,6:10); x <- 7 * (1:7)
+ A <- sparseMatrix(i, j, x = x)
+ sA <- sparseMatrix(i, j, x = x, symmetric = TRUE)
+ tA <- sparseMatrix(i, j, x = x, triangular= TRUE)
+ ## dims can be larger than the maximum row or column indices
+ AA <- sparseMatrix(c(1,3:8), c(2,9,6:10), x = 7 * (1:7), dims = c(10,20))
+ ## i, j and x can be in an arbitrary order, as long as they are consistent
+ set.seed(1); (perm <- sample(1:7))
+ A1 <- sparseMatrix(i[perm], j[perm], x = x[perm])
+ ## the (i,j) pairs can be repeated, in which case the x's are summed
+ args <- data.frame(i = c(i, 1), j = c(j, 2), x = c(x, 2))
+ Aa <- do.call(sparseMatrix, args)
+ A. <- do.call(sparseMatrix, c(args, list(use.last.ij = TRUE)))
+ ## for a pattern matrix, of course there is no "summing":
+ nA <- do.call(sparseMatrix, args[c("i","j")])
+ dn <- list(LETTERS[1:3], letters[1:5])
+ ## pointer vectors can be used, and the (i,x) slots are sorted if necessary:
+ m <- sparseMatrix(i = c(3,1, 3:2, 2:1), p= c(0:2, 4,4,6), x = 1:6, dimnames = dn)
+ ## no 'x' --> patter*n* matrix:
+ n <- sparseMatrix(i=1:6, j=rev(2:7))
+ ## an empty sparse matrix:
+ e <- sparseMatrix(dims = c(4,6), i={}, j={})
+ ## a symmetric one:
+ sy <- sparseMatrix(i= c(2,4,3:5), j= c(4,7:5,5), x = 1:5,
+ dims = c(7,7), symmetric=TRUE)
+ })
Loading required package: Matrix
> cat("Trying some Matrix objects, too\n")
Trying some Matrix objects, too
> D5. <- Diagonal(x = 5:1)
> D5N <- D5.
> D5N[5, 5] <- NA
> example(Matrix)
Matrix> Matrix(0, 3, 2) # 3 by 2 matrix of zeros -> sparse
3 x 2 sparse Matrix of class "dgCMatrix"
[1,] . .
[2,] . .
[3,] . .
Matrix> Matrix(0, 3, 2, sparse=FALSE)# -> 'dense'
3 x 2 Matrix of class "dgeMatrix"
[,1] [,2]
[1,] 0 0
[2,] 0 0
[3,] 0 0
Matrix> Matrix(0, 2, 2, sparse=FALSE)# diagonal !
2 x 2 diagonal matrix of class "ddiMatrix"
[,1] [,2]
[1,] 0 .
[2,] . 0
Matrix> Matrix(0, 2, 2, sparse=FALSE, doDiag=FALSE)# -> dense
2 x 2 Matrix of class "dsyMatrix"
[,1] [,2]
[1,] 0 0
[2,] 0 0
Matrix> Matrix(1:6, 3, 2) # a 3 by 2 matrix (+ integer warning)
3 x 2 Matrix of class "dgeMatrix"
[,1] [,2]
[1,] 1 4
[2,] 2 5
[3,] 3 6
Matrix> Matrix(1:6 + 1, nrow=3)
3 x 2 Matrix of class "dgeMatrix"
[,1] [,2]
[1,] 2 5
[2,] 3 6
[3,] 4 7
Matrix> ## logical ones:
Matrix> Matrix(diag(4) > 0)# -> "ldiMatrix" with diag = "U"
4 x 4 diagonal matrix of class "ldiMatrix"
[,1] [,2] [,3] [,4]
[1,] TRUE . . .
[2,] . TRUE . .
[3,] . . TRUE .
[4,] . . . TRUE
Matrix> Matrix(diag(4) > 0, sparse=TRUE)# -> sparse...
4 x 4 sparse Matrix of class "lsCMatrix"
[1,] | . . .
[2,] . | . .
[3,] . . | .
[4,] . . . |
Matrix> Matrix(diag(4) >= 0)# -> "lsyMatrix" (of all 'TRUE')
4 x 4 Matrix of class "lsyMatrix"
[,1] [,2] [,3] [,4]
[1,] TRUE TRUE TRUE TRUE
[2,] TRUE TRUE TRUE TRUE
[3,] TRUE TRUE TRUE TRUE
[4,] TRUE TRUE TRUE TRUE
Matrix> ## triangular
Matrix> l3 <- upper.tri(matrix(,3,3))
Matrix> (M <- Matrix(l3)) # -> "ltCMatrix"
3 x 3 sparse Matrix of class "ltCMatrix"
[1,] . | |
[2,] . . |
[3,] . . .
Matrix> Matrix(! l3)# -> "ltrMatrix"
3 x 3 Matrix of class "ltrMatrix"
[,1] [,2] [,3]
[1,] TRUE . .
[2,] TRUE TRUE .
[3,] TRUE TRUE TRUE
Matrix> as(l3, "CsparseMatrix")
3 x 3 sparse Matrix of class "lgCMatrix"
[1,] . | |
[2,] . . |
[3,] . . .
Matrix> Matrix(1:9, nrow=3,
Matrix+ dimnames = list(c("a", "b", "c"), c("A", "B", "C")))
3 x 3 Matrix of class "dgeMatrix"
A B C
a 1 4 7
b 2 5 8
c 3 6 9
Matrix> (I3 <- Matrix(diag(3)))# identity, i.e., unit "diagonalMatrix"
3 x 3 diagonal matrix of class "ddiMatrix"
[,1] [,2] [,3]
[1,] 1 . .
[2,] . 1 .
[3,] . . 1
Matrix> str(I3) # note the empty 'x' slot
Formal class 'ddiMatrix' [package "Matrix"] with 4 slots
..@ diag : chr "U"
..@ Dim : int [1:2] 3 3
..@ Dimnames:List of 2
.. ..$ : NULL
.. ..$ : NULL
..@ x : num(0)
Matrix> (A <- cbind(a=c(2,1), b=1:2))# symmetric *apart* from dimnames
a b
[1,] 2 1
[2,] 1 2
Matrix> Matrix(A) # hence 'dgeMatrix'
2 x 2 Matrix of class "dgeMatrix"
a b
[1,] 2 1
[2,] 1 2
Matrix> (As <- Matrix(A, dimnames = list(NULL,NULL)))# -> symmetric
2 x 2 Matrix of class "dsyMatrix"
[,1] [,2]
[1,] 2 1
[2,] 1 2
Matrix> stopifnot(is(As, "symmetricMatrix"),
Matrix+ is(Matrix(0, 3,3), "sparseMatrix"),
Matrix+ is(Matrix(FALSE, 1,1), "sparseMatrix"))
> i <- c(1, 3:8)
> j <- c(2, 9, 6:10)
> x <- 7 * (1:7)
> A <- sparseMatrix(i, j, x = x)
> sA <- sparseMatrix(i, j, x = x, symmetric = TRUE)
> tA <- sparseMatrix(i, j, x = x, triangular = TRUE)
> AA <- sparseMatrix(c(1, 3:8), c(2, 9, 6:10), x = 7 * (1:7), dims = c(10,
+ 20))
> set.seed(1)
> (perm <- sample(1:7))
[1] 1 4 7 2 5 3 6
> A1 <- sparseMatrix(i[perm], j[perm], x = x[perm])
> args <- data.frame(i = c(i, 1), j = c(j, 2), x = c(x, 2))
> Aa <- do.call(sparseMatrix, args)
> A. <- do.call(sparseMatrix, c(args, list(use.last.ij = TRUE)))
> nA <- do.call(sparseMatrix, args[c("i", "j")])
> dn <- list(LETTERS[1:3], letters[1:5])
> m <- sparseMatrix(i = c(3, 1, 3:2, 2:1), p = c(0:2, 4, 4, 6), x = 1:6,
+ dimnames = dn)
> n <- sparseMatrix(i = 1:6, j = rev(2:7))
> e <- sparseMatrix(dims = c(4, 6), i = {
+ }, j = {
+ })
> sy <- sparseMatrix(i = c(2, 4, 3:5), j = c(4, 7:5, 5), x = 1:5, dims = c(7,
+ 7), symmetric = TRUE)
>
> runEPD_checks() # Action!
A: new("dgCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(8L, 10L), Dimnames = list(
NULL, NULL), x = c(7, 21, 28, 35, 14, 42, 49), factors = list())
--> checking list(*): Ok
--=--=--=--=--
A.: new("dgCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(8L, 10L), Dimnames = list(
NULL, NULL), x = c(2, 21, 28, 35, 14, 42, 49), factors = list())
--> checking list(*): Ok
--=--=--=--=--
A1: new("dgCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(8L, 10L), Dimnames = list(
NULL, NULL), x = c(7, 21, 28, 35, 14, 42, 49), factors = list())
--> checking list(*): Ok
--=--=--=--=--
AA: new("dgCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L), Dim = c(10L, 20L), Dimnames = list(NULL, NULL),
x = c(7, 21, 28, 35, 14, 42, 49), factors = list())
--> checking list(*): Ok
--=--=--=--=--
Aa: new("dgCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(8L, 10L), Dimnames = list(
NULL, NULL), x = c(9, 21, 28, 35, 14, 42, 49), factors = list())
--> checking list(*): Ok
--=--=--=--=--
As: new("dsyMatrix", x = c(2, 1, 1, 2), Dim = c(2L, 2L), Dimnames = list(
NULL, NULL), uplo = "U", factors = list())
--> checking list(*): Ok
--=--=--=--=--
D5.: new("ddiMatrix", diag = "N", Dim = c(5L, 5L), Dimnames = list(
NULL, NULL), x = c(5, 4, 3, 2, 1))
--> checking list(*): Ok
--=--=--=--=--
D5N: new("ddiMatrix", diag = "N", Dim = c(5L, 5L), Dimnames = list(
NULL, NULL), x = c(5, 4, 3, 2, NA))
--> checking list(*): Ok
--=--=--=--=--
I3: new("ddiMatrix", diag = "U", Dim = c(3L, 3L), Dimnames = list(
NULL, NULL), x = numeric(0))
--> checking list(*): Ok
--=--=--=--=--
M: new("ltCMatrix", i = c(0L, 0L, 1L), p = c(0L, 0L, 1L, 3L), Dim = c(3L,
3L), Dimnames = list(NULL, NULL), x = c(TRUE, TRUE, TRUE), uplo = "U",
diag = "N")
--> checking list(*): Ok
--=--=--=--=--
args: structure(list(i = c(1, 3, 4, 5, 6, 7, 8, 1), j = c(2, 9, 6,
7, 8, 9, 10, 2), x = c(7, 14, 21, 28, 35, 42, 49, 2)), class = "data.frame", row.names = c(NA,
-8L))
--> checking list(*): Ok
--=--=--=--=--
check_EPD: function (obj, show = !hasReal(obj), oNam = deparse(substitute(obj)),
control = c("keepInteger", "showAttributes", "keepNA"), not.identical.ldouble = if (!interactive()) c("t1",
"t2", "ydata"), eq.tol = if (noLdbl) 2 * .Machine$double.eps else 0)
{
stopifnot(is.character(oNam))
if (show)
dPut(obj)
if (is.environment(obj) || hasMissObj(obj)) {
cat("__ not parse()able __:", if (is.environment(obj))
"environment"
else "hasMissObj(.) is true", "\n")
return(invisible(obj))
}
ob2 <- id_epd(obj)
po <- tryCatch(pd0(obj, control = control), error = function(e) {
cat("default parse(*, deparse(obj)) failed:\n ", conditionMessage(e),
"\n but deparse(*, control='all') should work.\n")
pd0(obj, control = "all")
})
noLdbl <- (.Machine$sizeof.longdouble <= 8)
if (!identical(obj, ob2, ignore.environment = TRUE, ignore.bytecode = TRUE,
ignore.srcref = TRUE)) {
ae <- all.equal(obj, ob2, tolerance = eq.tol)
if (is.na(match(oNam, not.identical.ldouble))) {
ae.txt <- "all.equal(*,*, tol = ..)"
cat("not identical(*, ignore.env=T),", if (isTRUE(ae))
paste("but", ae.txt), "\n")
}
if (!isTRUE(ae))
stop("Not equal: ", ae.txt, paste(c(" giving", head(ae,
2), if (length(ae) > 2) "...."), collapse = "\n "))
}
if (!is.language(obj)) {
ob2. <- eval(obj)
}
if (show || !is.list(obj)) {
cat(" --> checking list(*): ")
check_EPD(list(.chk = obj), show = FALSE, oNam = oNam,
eq.tol = eq.tol)
cat("Ok\n")
}
invisible(obj)
}
--> checking list(*): Ok
checking body(.):
quote({
stopifnot(is.character(oNam))
if (show)
dPut(obj)
if (is.environment(obj) || hasMissObj(obj)) {
cat("__ not parse()able __:", if (is.environment(obj))
"environment"
else "hasMissObj(.) is true", "\n")
return(invisible(obj))
}
ob2 <- id_epd(obj)
po <- tryCatch(pd0(obj, control = control), error = function(e) {
cat("default parse(*, deparse(obj)) failed:\n ", conditionMessage(e),
"\n but deparse(*, control='all') should work.\n")
pd0(obj, control = "all")
})
noLdbl <- (.Machine$sizeof.longdouble <= 8)
if (!identical(obj, ob2, ignore.environment = TRUE, ignore.bytecode = TRUE,
ignore.srcref = TRUE)) {
ae <- all.equal(obj, ob2, tolerance = eq.tol)
if (is.na(match(oNam, not.identical.ldouble))) {
ae.txt <- "all.equal(*,*, tol = ..)"
cat("not identical(*, ignore.env=T),", if (isTRUE(ae))
paste("but", ae.txt), "\n")
}
if (!isTRUE(ae))
stop("Not equal: ", ae.txt, paste(c(" giving", head(ae,
2), if (length(ae) > 2) "...."), collapse = "\n "))
}
if (!is.language(obj)) {
ob2. <- eval(obj)
}
if (show || !is.list(obj)) {
cat(" --> checking list(*): ")
check_EPD(list(.chk = obj), show = FALSE, oNam = oNam,
eq.tol = eq.tol)
cat("Ok\n")
}
invisible(obj)
})
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(obj = , show = quote(!hasReal(obj)), oNam = quote(deparse(substitute(obj))), control = quote(c("keepInteger",
"showAttributes", "keepNA")), not.identical.ldouble = quote(if (!interactive()) c("t1",
"t2", "ydata")), eq.tol = quote(if (noLdbl) 2 * .Machine$double.eps else 0)))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
dPut: function (x, control = c("all", "digits17"))
dput(x, control = control)
--> checking list(*): Ok
checking body(.):
quote(dput(x, control = control))
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(x = , control = quote(c("all", "digits17"))))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
dn: list(c("A", "B", "C"), c("a", "b", "c", "d", "e"))
--> checking list(*): Ok
--=--=--=--=--
e: new("ngCMatrix", i = integer(0), p = c(0L, 0L, 0L, 0L, 0L, 0L,
0L), Dim = c(4L, 6L), Dimnames = list(NULL, NULL), factors = list())
--> checking list(*): Ok
--=--=--=--=--
hasMissObj: function (obj)
{
if (is.recursive(obj)) {
if (is.function(obj) || is.language(obj))
FALSE
else any(vapply(obj, hasMissObj, NA))
}
else isMissObj(obj)
}
--> checking list(*): Ok
checking body(.):
quote({
if (is.recursive(obj)) {
if (is.function(obj) || is.language(obj))
FALSE
else any(vapply(obj, hasMissObj, NA))
}
else isMissObj(obj)
})
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(obj = ))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
hasReal: function (x)
{
if (is.double(x) || is.complex(x))
!all((x == round(x, 3)) | is.na(x))
else if (is.logical(x) || is.integer(x) || is.symbol(x) ||
is.call(x) || is.environment(x) || is.character(x))
FALSE
else if (is.recursive(x))
any(vapply(x, hasReal, NA))
else if (isS4(x)) {
if (length(sn <- slotNames(x)))
any(vapply(sn, function(s) hasReal(slot(x, s)), NA))
else FALSE
}
else FALSE
}
--> checking list(*): Ok
checking body(.):
quote({
if (is.double(x) || is.complex(x))
!all((x == round(x, 3)) | is.na(x))
else if (is.logical(x) || is.integer(x) || is.symbol(x) ||
is.call(x) || is.environment(x) || is.character(x))
FALSE
else if (is.recursive(x))
any(vapply(x, hasReal, NA))
else if (isS4(x)) {
if (length(sn <- slotNames(x)))
any(vapply(sn, function(s) hasReal(slot(x, s)), NA))
else FALSE
}
else FALSE
})
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(x = ))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
i: c(1, 3, 4, 5, 6, 7, 8)
--> checking list(*): Ok
--=--=--=--=--
id_epd: function (expr, control = c("all", "digits17"), ...)
eval(pd0(expr, control = control, ...))
--> checking list(*): Ok
checking body(.):
quote(eval(pd0(expr, control = control, ...)))
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(expr = , control = quote(c("all", "digits17")), ... = ))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
isMissObj: function (obj)
identical(obj, alist(a = )[[1]])
--> checking list(*): Ok
checking body(.):
quote(identical(obj, alist(a = )[[1]]))
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(obj = ))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
j: c(2, 9, 6, 7, 8, 9, 10)
--> checking list(*): Ok
--=--=--=--=--
l3: structure(c(FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, TRUE,
FALSE), .Dim = c(3L, 3L))
--> checking list(*): Ok
--=--=--=--=--
m: new("dgCMatrix", i = c(2L, 0L, 1L, 2L, 0L, 1L), p = c(0L, 1L,
2L, 4L, 4L, 6L), Dim = c(3L, 5L), Dimnames = list(c("A", "B",
"C"), c("a", "b", "c", "d", "e")), x = c(1, 2, 4, 3, 6, 5), factors = list())
--> checking list(*): Ok
--=--=--=--=--
n: new("ngCMatrix", i = 5:0, p = c(0L, 0L, 1L, 2L, 3L, 4L, 5L, 6L
), Dim = 6:7, Dimnames = list(NULL, NULL), factors = list())
--> checking list(*): Ok
--=--=--=--=--
nA: new("ngCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(8L, 10L), Dimnames = list(
NULL, NULL), factors = list())
--> checking list(*): Ok
--=--=--=--=--
pd0: function (expr, backtick = TRUE, ...)
parse(text = deparse(expr, backtick = backtick, ...))
--> checking list(*): Ok
checking body(.):
quote(parse(text = deparse(expr, backtick = backtick, ...)))
--> checking list(*): Ok
checking formals(.):
as.pairlist(alist(expr = , backtick = TRUE, ... = ))
__ not parse()able __: hasMissObj(.) is true
--=--=--=--=--
perm: c(1L, 4L, 7L, 2L, 5L, 3L, 6L)
--> checking list(*): Ok
--=--=--=--=--
runEPD_checks: function (env = .GlobalEnv)
{
stopifnot(is.environment(env))
for (nm in ls(envir = env)) {
cat(nm, ": ", sep = "")
x <- env[[nm]]
check_EPD(x, oNam = nm)
if (is.function(x) && !inherits(x, "classGeneratorFunction")) {
cat("checking body(.):\n")
check_EPD(if (is.language(bx <- body(x)))
removeSource(bx)
else bx)
cat("checking formals(.):\n")
check_EPD(formals(x))
}
cat("--=--=--=--=--\n")
}
}
--> checking list(*): Ok
checking body(.):
quote({
stopifnot(is.environment(env))
for (nm in ls(envir = env)) {
cat(nm, ": ", sep = "")
x <- env[[nm]]
check_EPD(x, oNam = nm)
if (is.function(x) && !inherits(x, "classGeneratorFunction")) {
cat("checking body(.):\n")
check_EPD(if (is.language(bx <- body(x)))
removeSource(bx)
else bx)
cat("checking formals(.):\n")
check_EPD(formals(x))
}
cat("--=--=--=--=--\n")
}
})
--> checking list(*): Ok
checking formals(.):
pairlist(env = quote(.GlobalEnv))
--> checking list(*): Ok
--=--=--=--=--
sA: new("dsCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(10L, 10L), Dimnames = list(
NULL, NULL), x = c(7, 21, 28, 35, 14, 42, 49), uplo = "U",
factors = list())
--> checking list(*): Ok
--=--=--=--=--
sy: new("dsCMatrix", i = c(1L, 3L, 4L, 2L, 3L), p = c(0L, 0L, 0L,
0L, 1L, 3L, 4L, 5L), Dim = c(7L, 7L), Dimnames = list(NULL, NULL),
x = c(1, 4, 5, 3, 2), uplo = "U", factors = list())
--> checking list(*): Ok
--=--=--=--=--
tA: new("dtCMatrix", i = c(0L, 3L, 4L, 5L, 2L, 6L, 7L), p = c(0L,
0L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 6L, 7L), Dim = c(10L, 10L), Dimnames = list(
NULL, NULL), x = c(7, 21, 28, 35, 14, 42, 49), uplo = "U",
diag = "N")
--> checking list(*): Ok
--=--=--=--=--
x: c(7, 14, 21, 28, 35, 42, 49)
--> checking list(*): Ok
--=--=--=--=--
>
> summary(warnings())
Length Class Mode
0 NULL NULL
> ## at the very end
> cat('Time elapsed: ', proc.time(), "\n")
Time elapsed: 1.389 0.116 1.532 0.001 0.009
>