CRAN Package Check Results for Package tables

Last updated on 2024-06-13 10:49:12 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.9.25 5.51 103.36 108.87 OK
r-devel-linux-x86_64-debian-gcc 0.9.25 5.05 58.50 63.55 ERROR
r-devel-linux-x86_64-fedora-clang 0.9.25 137.82 OK
r-devel-linux-x86_64-fedora-gcc 0.9.25 143.65 OK
r-devel-windows-x86_64 0.9.25 6.00 130.00 136.00 OK
r-patched-linux-x86_64 0.9.25 10.19 97.60 107.79 OK
r-release-linux-x86_64 0.9.25 6.17 98.69 104.86 OK
r-release-macos-arm64 0.9.25 66.00 OK
r-release-macos-x86_64 0.9.25 84.00 OK
r-release-windows-x86_64 0.9.25 6.00 134.00 140.00 OK
r-oldrel-macos-arm64 0.9.25 55.00 OK
r-oldrel-macos-x86_64 0.9.25 124.00 OK
r-oldrel-windows-x86_64 0.9.25 8.00 135.00 143.00 OK

Check Details

Version: 0.9.25
Check: package dependencies
Result: NOTE Packages suggested but not available for checking: 'kableExtra', 'Hmisc', 'pkgdown' Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.9.25
Check: examples
Result: ERROR Running examples in ‘tables-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: matrix_form.tabular > ### Title: Transform tabular object to matrices printable by formatters > ### package > ### Aliases: matrix_form.tabular > > ### ** Examples > > if (requireNamespace("formatters")) { + Sex <- factor(sample(c("Male", "Female"), 100, rep=TRUE)) + Status <- factor(sample(c("low", "medium", "high"), 100, rep=TRUE)) + z <- rnorm(100) + 5 + fmt <- function(x) { + s <- format(x, digits=2) + even <- ((1:length(s)) %% 2) == 0 + s[even] <- sprintf("(%s)", s[even]) + s + } + tab <- tabular( Justify(c)*Heading()*z*Sex*Heading(Statistic)*Format(fmt())*(mean+sd) + ~ Status ) + mform <- matrix_form.tabular(tab) + page <- 1 + cat("Page ", page, " Full table\n\n") + cat(formatters::toString(mform)) + + # This shows automatic pagination, breaking up the + # table by rows + byrow <- formatters::pag_indices_inner(formatters::mf_rinfo(mform), + rlpp = 2, + min_siblings = 1) + for (i in seq_along(byrow)) { + mform2 <- matrix_form.tabular(tab[byrow[[i]], ]) + page <- page + 1 + cat("\nPage ", page, " Rows", byrow[[i]], "\n\n") + cat(formatters::toString(mform2)) + } + + # This gives the breaks by columns, counting the + # row label columns: + bycol <- formatters::vert_pag_indices(mform, cpp = 30, rep_cols = 2) + # Display the table with both kinds of breaks + for (i in seq_along(byrow)) { + rows <- byrow[[i]] + for (j in seq_along(bycol)) { + cols <- bycol[[j]] + cols <- cols[cols > 2] - 2 # cols includes the row labels + mform3 <- matrix_form.tabular(tab[rows, cols, drop = FALSE]) + page <- page + 1 + cat("\nPage ", page, "Rows", rows, "column", cols, "\n\n") + cat(formatters::toString(mform3)) + } + } + } Loading required namespace: formatters Page 1 Full table Error in loadNamespace(x) : there is no package called ‘stringi’ Calls: cat ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.9.25
Check: running R code from vignettes
Result: WARN Errors in running code in vignettes: when running code in ‘tables.Rnw’ ... > options(width = 60) > library(tables) > suppressWarnings(RNGversion("3.5.3")) > tabular((Species + 1) ~ (n = 1) + Format(digits = 2) * + (Sepal.Length + Sepal.Width) * (mean + sd), data = iris) Sepal.Length Sepal.Width Species n mean sd mean sd setosa 50 5.01 0.35 3.43 0.38 versicolor 50 5.94 0.52 2.77 0.31 virginica 50 6.59 0.64 2.97 0.32 All 150 5.84 0.83 3.06 0.44 > toLatex(tabular((Species + 1) ~ (n = 1) + Format(digits = 2) * + (Sepal.Length + Sepal.Width) * (mean + sd), data = iris)) \begin{tabular}{lccccc} \hline & & \multicolumn{2}{c}{Sepal.Length} & \multicolumn{2}{c}{Sepal.Width} \\ Species & n & mean & sd & mean & \multicolumn{1}{c}{sd} \\ \hline setosa & $\phantom{0}50$ & $5.01$ & $0.35$ & $3.43$ & $0.38$ \\ versicolor & $\phantom{0}50$ & $5.94$ & $0.52$ & $2.77$ & $0.31$ \\ virginica & $\phantom{0}50$ & $6.59$ & $0.64$ & $2.97$ & $0.32$ \\ All & $150$ & $5.84$ & $0.83$ & $3.06$ & $0.44$ \\ \hline \end{tabular} > saved.options <- table_options() > booktabs() $toprule [1] "\\hline" $midrule [1] "\\hline" $bottomrule [1] "\\hline" $titlerule NULL > toLatex(tabular((Species + 1) ~ (n = 1) + Format(digits = 2) * + (Sepal.Length + Sepal.Width) * (mean + sd), data = iris)) \begin{tabular}{lccccc} \toprule & & \multicolumn{2}{c}{Sepal.Length} & \multicolumn{2}{c}{Sepal.Width} \\ \cmidrule(lr){3-4}\cmidrule(lr){5-6} Species & n & mean & sd & mean & \multicolumn{1}{c}{sd} \\ \midrule setosa & $\phantom{0}50$ & $5.01$ & $0.35$ & $3.43$ & $0.38$ \\ versicolor & $\phantom{0}50$ & $5.94$ & $0.52$ & $2.77$ & $0.31$ \\ virginica & $\phantom{0}50$ & $6.59$ & $0.64$ & $2.97$ & $0.32$ \\ All & $150$ & $5.84$ & $0.83$ & $3.06$ & $0.44$ \\ \bottomrule \end{tabular} > set.seed(100) > X <- rnorm(10) > X [1] -0.50219235 0.13153117 -0.07891709 0.88678481 [5] 0.11697127 0.31863009 -0.58179068 0.71453271 [9] -0.82525943 -0.35986213 > A <- sample(letters[1:2], 10, rep = TRUE) > A [1] "b" "b" "b" "b" "a" "a" "b" "b" "b" "a" > F <- factor(A) > F [1] b b b b a a b b b a Levels: a b > saved.options $justification [1] "c" $rowlabeljustification [1] "l" $tabular [1] "tabular" $toprule [1] "\\hline" $midrule [1] "\\hline" $bottomrule [1] "\\hline" $titlerule NULL $doBegin [1] TRUE $doHeader [1] TRUE $doBody [1] TRUE $doFooter [1] TRUE $doEnd [1] TRUE $knit_print [1] TRUE $latexleftpad [1] TRUE $latexrightpad [1] TRUE $latexminus [1] TRUE $doHTMLheader [1] FALSE $doCSS [1] FALSE $doHTMLbody [1] FALSE $CSS [1] "<style>\n#ID .Rtable thead, .Rtable .even {\n background-color: inherit;\n}\n#ID .left { text-align:left; }\n#ID .center { text-align:center; }\n#ID .right { text-align:right; }\n#ID .Rtable, #ID .Rtable thead { \n border-collapse: collapse;\n border-style: solid;\n border-width: medium 0;\n border-color: inherit;\n}\n#ID .Rtable th, #ID .Rtable td {\n padding-left: 0.5em;\n padding-right: 0.5em;\n border-width: 0;\n}\n</style>\n" $HTMLhead [1] "<!DOCTYPE html>\n<html>\n<head>\n<meta charset=\"CHARSET\">\n" $HTMLbody [1] "<body>\n" $HTMLattributes [1] "class=\"Rtable\"" $HTMLcaption NULL $HTMLfooter NULL $HTMLleftpad [1] FALSE $HTMLrightpad [1] FALSE $HTMLminus [1] FALSE > table_options()[c("toprule", "midrule", "bottomrule", + "titlerule")] $toprule [1] "\\toprule" $midrule [1] "\\midrule" $bottomrule [1] "\\bottomrule" $titlerule [1] "\\cmidrule(lr)" > toLatex(tabular((Species + 1) ~ (n = 1) + Format(digits = 2) * + (Sepal.Length + Sepal.Width) * (mean + sd), data = iris)) \begin{tabular}{lccccc} \toprule & & \multicolumn{2}{c}{Sepal.Length} & \multicolumn{2}{c}{Sepal.Width} \\ \cmidrule(lr){3-4}\cmidrule(lr){5-6} Species & n & mean & sd & mean & \multicolumn{1}{c}{sd} \\ \midrule setosa & $\phantom{0}50$ & $5.01$ & $0.35$ & $3.43$ & $0.38$ \\ versicolor & $\phantom{0}50$ & $5.94$ & $0.52$ & $2.77$ & $0.31$ \\ virginica & $\phantom{0}50$ & $6.59$ & $0.64$ & $2.97$ & $0.32$ \\ All & $150$ & $5.84$ & $0.83$ & $3.06$ & $0.44$ \\ \bottomrule \end{tabular} > toLatex(tabular(Species ~ (n = 1) + Format(digits = 2) * + (Sepal.Length + Sepal.Width) * (mean + sd), data = iris), + options = list(doFo .... [TRUNCATED] \begin{tabular}{lccccc} \toprule & & \multicolumn{2}{c}{Sepal.Length} & \multicolumn{2}{c}{Sepal.Width} \\ \cmidrule(lr){3-4}\cmidrule(lr){5-6} Species & n & mean & sd & mean & \multicolumn{1}{c}{sd} \\ \midrule setosa & $50$ & $5.01$ & $0.35$ & $3.43$ & $0.38$ \\ versicolor & $50$ & $5.94$ & $0.52$ & $2.77$ & $0.31$ \\ virginica & $50$ & $6.59$ & $0.64$ & $2.97$ & $0.32$ \\ > cat("\\ \\\\ \\multicolumn{6}{l}{\n\\textit{Overall, we see the following: }} \\\\\n\\ \\\\") \ \\ \multicolumn{6}{l}{ \textit{Overall, we see the following: }} \\ \ \\ > toLatex(tabular(1 ~ (n = 1) + Format(digits = 2) * + (Sepal.Length + Sepal.Width) * (mean + sd), data = iris), + options = list(doBegin = .... [TRUNCATED] All & $150$ & $5.84$ & $0.83$ & $3.06$ & $0.44$ \\ \bottomrule \end{tabular} > toLatex(tabular(F + 1 ~ 1)) \begin{tabular}{lc} \toprule F & \multicolumn{1}{c}{All} \\ \midrule a & $\phantom{0}3$ \\ b & $\phantom{0}7$ \\ All & $10$ \\ \bottomrule \end{tabular} > toLatex(tabular(X * F * (mean + sd) ~ 1)) \begin{tabular}{lllc} \toprule & F & & \multicolumn{1}{c}{All} \\ \midrule X & a & mean & $\phantom{-}0.02525$ \\ & & sd & $\phantom{-}0.34842$ \\ & b & mean & $-0.03647$ \\ & & sd & $\phantom{-}0.65611$ \\ \bottomrule \end{tabular} > toLatex(tabular(X * F ~ mean + sd)) \begin{tabular}{llcc} \toprule & F & mean & \multicolumn{1}{c}{sd} \\ \midrule X & a & $\phantom{-}0.02525$ & $0.3484$ \\ & b & $-0.03647$ & $0.6561$ \\ \bottomrule \end{tabular} > toLatex(tabular(X * (Newname = F) ~ mean + sd)) \begin{tabular}{llcc} \toprule & Newname & mean & \multicolumn{1}{c}{sd} \\ \midrule X & a & $\phantom{-}0.02525$ & $0.3484$ \\ & b & $-0.03647$ & $0.6561$ \\ \bottomrule \end{tabular} > toLatex(tabular((F + 1) ~ (n = 1) + X * (mean + sd))) \begin{tabular}{lccc} \toprule & & \multicolumn{2}{c}{X} \\ \cmidrule(lr){3-4} F & n & mean & \multicolumn{1}{c}{sd} \\ \midrule a & $\phantom{0}3$ & $\phantom{-}0.02525$ & $0.3484$ \\ b & $\phantom{0}7$ & $-0.03647$ & $0.6561$ \\ All & $10$ & $-0.01796$ & $0.5611$ \\ \bottomrule \end{tabular} > toLatex(tabular((i = factor(seq_along(X))) ~ Heading() * + identity * (X + A + (F = as.character(F))))) \begin{tabular}{lccc} \toprule i & X & A & \multicolumn{1}{c}{F} \\ \midrule 1 & $-0.50219$ & b & b \\ 2 & $\phantom{-}0.13153$ & b & b \\ 3 & $-0.07892$ & b & b \\ 4 & $\phantom{-}0.88678$ & b & b \\ 5 & $\phantom{-}0.11697$ & a & a \\ 6 & $\phantom{-}0.31863$ & a & a \\ 7 & $-0.58179$ & b & b \\ 8 & $\phantom{-}0.71453$ & b & b \\ 9 & $-0.82526$ & b & b \\ 10 & $-0.35986$ & a & a \\ \bottomrule \end{tabular} > toLatex(tabular((X > 0) + (X < 0) + 1 ~ ((n = 1) + + X * (mean + sd)))) \begin{tabular}{lccc} \toprule & & \multicolumn{2}{c}{X} \\ \cmidrule(lr){3-4} & n & mean & \multicolumn{1}{c}{sd} \\ \midrule X > 0 & $\phantom{0}5$ & $\phantom{-}0.43369$ & $0.3496$ \\ X < 0 & $\phantom{0}5$ & $-0.46960$ & $0.2761$ \\ All & $10$ & $-0.01796$ & $0.5611$ \\ \bottomrule \end{tabular} > toLatex(tabular(I(X > 0) + I(X < 0) ~ ((n = 1) + mean + + sd))) \begin{tabular}{lccc} \toprule & n & mean & \multicolumn{1}{c}{sd} \\ \midrule I(X > 0) & $10$ & $0.5$ & $0.527$ \\ I(X < 0) & $10$ & $0.5$ & $0.527$ \\ \bottomrule \end{tabular} > toLatex(tabular((F + 1) ~ (n = 1) + Format(digits = 2) * + X * (mean + sd))) \begin{tabular}{lccc} \toprule & & \multicolumn{2}{c}{X} \\ \cmidrule(lr){3-4} F & n & mean & \multicolumn{1}{c}{sd} \\ \midrule a & $\phantom{0}3$ & $\phantom{-}0.025$ & $\phantom{-}0.348$ \\ b & $\phantom{0}7$ & $-0.036$ & $\phantom{-}0.656$ \\ All & $10$ & $-0.018$ & $\phantom{-}0.561$ \\ \bottomrule \end{tabular} > stderr <- function(x) sd(x)/sqrt(length(x)) > fmt <- function(x, digits, ...) { + s <- format(x, digits = digits, ...) + is_stderr <- (1:length(s)) > length(s)%/%2 + s[is_stderr] <- .... [TRUNCATED] > toLatex(tabular(Format(fmt(digits = 1)) * (F + 1) ~ + X * (mean + stderr))) \begin{tabular}{lcc} \toprule & \multicolumn{2}{c}{X} \\ \cmidrule(lr){2-3} F & mean & \multicolumn{1}{c}{stderr} \\ \midrule a & $\phantom{-}0.03$ & $( 0.20)$ \\ b & $-0.04$ & $( 0.25)$ \\ All & $-0.02$ & $( 0.18)$ \\ \bottomrule \end{tabular} > toLatex(tabular((F + 1) ~ X * (Format(digits = 2) * + mean + (n = 1) + .Format(1) * sd))) \begin{tabular}{lccc} \toprule & \multicolumn{3}{c}{X} \\ \cmidrule(lr){2-4} F & mean & n & \multicolumn{1}{c}{sd} \\ \midrule a & $\phantom{-}0.025$ & $\phantom{0}3$ & $\phantom{-}0.348$ \\ b & $-0.036$ & $\phantom{0}7$ & $\phantom{-}0.656$ \\ All & $-0.018$ & $10$ & $\phantom{-}0.561$ \\ \bottomrule \end{tabular} > toLatex(tabular((Heading("$\\Phi$") * F + 1) ~ (n = 1) + + Format(digits = 2) * Heading() * X * (mean + sd))) \begin{tabular}{lccc} \toprule $\Phi$ & n & mean & \multicolumn{1}{c}{sd} \\ \midrule a & $\phantom{0}3$ & $\phantom{-}0.025$ & $\phantom{-}0.348$ \\ b & $\phantom{0}7$ & $-0.036$ & $\phantom{-}0.656$ \\ All & $10$ & $-0.018$ & $\phantom{-}0.561$ \\ \bottomrule \end{tabular} > toLatex(tabular(X * F + Heading("near") * X + Heading("far", + nearData = FALSE) * X ~ mean + sd)) \begin{tabular}{llcc} \toprule & F & mean & \multicolumn{1}{c}{sd} \\ \midrule X & a & $\phantom{-}0.02525$ & $0.3484$ \\ & b & $-0.03647$ & $0.6561$ \\ & near & $-0.01796$ & $0.5611$ \\ far & & $-0.01796$ & $0.5611$ \\ \bottomrule \end{tabular} > toLatex(tabular(Justify(r) * (F + 1) ~ Justify(c) * + (n = 1) + Justify(c, r) * Format(digits = 2) * X * (mean + + sd))) \begin{tabular}{lccc} \toprule & & \multicolumn{2}{c}{X} \\ \cmidrule(lr){3-4} F & n & mean & \multicolumn{1}{c}{sd} \\ \midrule \multicolumn{1}{r}{a} & $\phantom{0}3$ & \multicolumn{1}{r}{$\phantom{-}0.025$} & \multicolumn{1}{r}{$\phantom{-}0.348$} \\ \multicolumn{1}{r}{b} & $\phantom{0}7$ & \multicolumn{1}{r}{$-0.036$} & \multicolumn{1}{r}{$\phantom{-}0.656$} \\ \multicolumn{1}{r}{All} & $10$ & \multicolumn{1}{r}{$-0.018$} & \multicolumn{1}{r}{$\phantom{-}0.561$} \\ \bottomrule \end{tabular} > toLatex(tabular((Factor(gear, "Gears") + 1) * ((n = 1) + + Percent() + (RowPct = Percent(Equal(gear))) + (ColPct = Percent(Equal(carb)))) ~ + .... [TRUNCATED] \begin{tabular}{llccccccc} \toprule & & \multicolumn{6}{c}{Carburetors} & \multicolumn{1}{c}{} \\ \cmidrule(lr){3-8} Gears & & 1 & 2 & 3 & 4 & 6 & 8 & \multicolumn{1}{c}{All} \\ \midrule 3 & n & $\phantom{00}3$ & $\phantom{00}4$ & $\phantom{00}3$ & $\phantom{00}5$ & $\phantom{00}0$ & $\phantom{00}0$ & $\phantom{0}15$ \\ & Percent & $\phantom{00}9$ & $\phantom{0}12$ & $\phantom{00}9$ & $\phantom{0}16$ & $\phantom{00}0$ & $\phantom{00}0$ & $\phantom{0}47$ \\ & RowPct & $\phantom{0}20$ & $\phantom{0}27$ & $\phantom{0}20$ & $\phantom{0}33$ & $\phantom{00}0$ & $\phantom{00}0$ & $100$ \\ & ColPct & $\phantom{0}43$ & $\phantom{0}40$ & $100$ & $\phantom{0}50$ & $\phantom{00}0$ & $\phantom{00}0$ & $\phantom{0}47$ \\ 4 & n & $\phantom{00}4$ & $\phantom{00}4$ & $\phantom{00}0$ & $\phantom{00}4$ & $\phantom{00}0$ & $\phantom{00}0$ & $\phantom{0}12$ \\ & Percent & $\phantom{0}12$ & $\phantom{0}12$ & $\phantom{00}0$ & $\phantom{0}12$ & $\phantom{00}0$ & $\phantom{00}0$ & $\phantom{0}38$ \\ & RowPct & $\phantom{0}33$ & $\phantom{0}33$ & $\phantom{00}0$ & $\phantom{0}33$ & $\phantom{00}0$ & $\phantom{00}0$ & $100$ \\ & ColPct & $\phantom{0}57$ & $\phantom{0}40$ & $\phantom{00}0$ & $\phantom{0}40$ & $\phantom{00}0$ & $\phantom{00}0$ & $\phantom{0}38$ \\ 5 & n & $\phantom{00}0$ & $\phantom{00}2$ & $\phantom{00}0$ & $\phantom{00}1$ & $\phantom{00}1$ & $\phantom{00}1$ & $\phantom{00}5$ \\ & Percent & $\phantom{00}0$ & $\phantom{00}6$ & $\phantom{00}0$ & $\phantom{00}3$ & $\phantom{00}3$ & $\phantom{00}3$ & $\phantom{0}16$ \\ & RowPct & $\phantom{00}0$ & $\phantom{0}40$ & $\phantom{00}0$ & $\phantom{0}20$ & $\phantom{0}20$ & $\phantom{0}20$ & $100$ \\ & ColPct & $\phantom{00}0$ & $\phantom{0}20$ & $\phantom{00}0$ & $\phantom{0}10$ & $100$ & $100$ & $\phantom{0}16$ \\ All & n & $\phantom{00}7$ & $\phantom{0}10$ & $\phantom{00}3$ & $\phantom{0}10$ & $\phantom{00}1$ & $\phantom{00}1$ & $\phantom{0}32$ \\ & Percent & $\phantom{0}22$ & $\phantom{0}31$ & $\phantom{00}9$ & $\phantom{0}31$ & $\phantom{00}3$ & $\phantom{00}3$ & $100$ \\ & RowPct & $\phantom{0}22$ & $\phantom{0}31$ & $\phantom{00}9$ & $\phantom{0}31$ & $\phantom{00}3$ & $\phantom{00}3$ & $100$ \\ & ColPct & $100$ & $100$ & $100$ & $100$ & $100$ & $100$ & $100$ \\ \bottomrule \end{tabular} > wt <- c(5, 5, 4, 1)/15 > x <- c(3.7, 3.3, 3.5, 2.8) > gp <- c(1, 1, 2, 2) > toLatex(tabular((Factor(gp) + 1) ~ weighted.mean * + x * Arguments(w = wt))) \begin{tabular}{lc} \toprule & \multicolumn{1}{c}{weighted.mean} \\ gp & \multicolumn{1}{c}{x} \\ \midrule 1 & $3.500$ \\ 2 & $3.360$ \\ All & $3.453$ \\ \bottomrule \end{tabular} > set.seed(730) > df <- data.frame(Label = LETTERS[1:9], Group = rep(letters[1:3], + each = 3), Value = rnorm(9), stringsAsFactors = TRUE) > toLatex(tabular(Label ~ Group * Value * mean, data = df[1:6, + ])) \begin{tabular}{lccc} \toprule & \multicolumn{3}{c}{Group} \\ \cmidrule(lr){2-4} & a & b & \multicolumn{1}{c}{c} \\ & Value & Value & \multicolumn{1}{c}{Value} \\ Label & mean & mean & \multicolumn{1}{c}{mean} \\ \midrule A & $-0.92605$ & $\phantom{000}\phantom{-}NaN$ & $NaN$ \\ B & $-0.69747$ & $\phantom{000}\phantom{-}NaN$ & $NaN$ \\ C & $\phantom{-}0.05293$ & $\phantom{000}\phantom{-}NaN$ & $NaN$ \\ D & $\phantom{0000}\phantom{-}NaN$ & $\phantom{-}0.7782$ & $NaN$ \\ E & $\phantom{0000}\phantom{-}NaN$ & $\phantom{-}0.9822$ & $NaN$ \\ F & $\phantom{0000}\phantom{-}NaN$ & $-1.0628$ & $NaN$ \\ G & $\phantom{0000}\phantom{-}NaN$ & $\phantom{000}\phantom{-}NaN$ & $NaN$ \\ H & $\phantom{0000}\phantom{-}NaN$ & $\phantom{000}\phantom{-}NaN$ & $NaN$ \\ I & $\phantom{0000}\phantom{-}NaN$ & $\phantom{000}\phantom{-}NaN$ & $NaN$ \\ \bottomrule \end{tabular} > toLatex(tabular(Label ~ Group * Value * mean * DropEmpty(empty = "."), + data = df[1:6, ])) \begin{tabular}{lcc} \toprule & \multicolumn{2}{c}{Group} \\ \cmidrule(lr){2-3} & a & \multicolumn{1}{c}{b} \\ & Value & \multicolumn{1}{c}{Value} \\ Label & mean & \multicolumn{1}{c}{mean} \\ \midrule A & $-0.92605$ & . \\ B & $-0.69747$ & . \\ C & $\phantom{-}0.05293$ & . \\ D & . & $\phantom{-}0.7782$ \\ E & . & $\phantom{-}0.9822$ \\ F & . & $-1.0628$ \\ \bottomrule \end{tabular} > toLatex(tabular(Species ~ Heading() * mean * All(iris), + data = iris)) \begin{tabular}{lcccc} \toprule Species & Sepal.Length & Sepal.Width & Petal.Length & \multicolumn{1}{c}{Petal.Width} \\ \midrule setosa & $5.006$ & $3.428$ & $1.462$ & $0.246$ \\ versicolor & $5.936$ & $2.770$ & $4.260$ & $1.326$ \\ virginica & $6.588$ & $2.974$ & $5.552$ & $2.026$ \\ \bottomrule \end{tabular} > df <- mtcars[1:10, ] > toLatex(tabular(Factor(cyl) * Factor(gear) * AllObs(df) ~ + rownames(df) + mpg, data = df)) \begin{tabular}{llcc} \toprule cyl & gear & rownames(df) & \multicolumn{1}{c}{mpg} \\ \midrule 4 & 4 & Datsun 710 & $22.8$ \\ & & Merc 240D & $24.4$ \\ & & Merc 230 & $22.8$ \\ 6 & 3 & Hornet 4 Drive & $21.4$ \\ & & Valiant & $18.1$ \\ & 4 & Mazda RX4 & $21.0$ \\ & & Mazda RX4 Wag & $21.0$ \\ & & Merc 280 & $19.2$ \\ 8 & 3 & Hornet Sportabout & $18.7$ \\ & & Duster 360 & $14.3$ \\ \bottomrule \end{tabular} > rownum <- with(mtcars, RowNum(list(cyl, gear))) > toLatex(tabular(Factor(cyl) * Factor(gear) * I(rownum) ~ + mpg * AllObs(mtcars, within = list(cyl, gear, rownum)), data = mtcars)) \begin{tabular}{llccccc} \toprule cyl & gear & \multicolumn{5}{c}{mpg} \\ \midrule 4 & 3 & $21.5$ & & & & \\ & 4 & $22.8$ & $24.4$ & $22.8$ & $32.4$ & $30.4$ \\ & & $33.9$ & $27.3$ & $21.4$ & & \\ & 5 & $26.0$ & $30.4$ & & & \\ 6 & 3 & $21.4$ & $18.1$ & & & \\ & 4 & $21.0$ & $21.0$ & $19.2$ & $17.8$ & \\ & 5 & $19.7$ & & & & \\ 8 & 3 & $18.7$ & $14.3$ & $16.4$ & $17.3$ & $15.2$ \\ & & $10.4$ & $10.4$ & $14.7$ & $15.5$ & $15.2$ \\ & & $13.3$ & $19.2$ & & & \\ & 5 & $15.8$ & $15.0$ & & & \\ \bottomrule \end{tabular} > rownum <- with(mtcars, RowNum(list(cyl, gear), perrow = 2)) > toLatex(tabular(Factor(cyl) * Factor(gear) * AllObs(mtcars, + within = list(cyl, gear, rownum)) ~ mpg * I(rownum), data = mtcars)) \begin{tabular}{llcccccc} \toprule cyl & gear & \multicolumn{6}{c}{mpg} \\ \midrule 4 & 3 & $21.5$ & & & & & \\ & 4 & $22.8$ & $22.8$ & $30.4$ & $27.3$ & & \\ & & $24.4$ & $32.4$ & $33.9$ & $21.4$ & & \\ & 5 & $26.0$ & & & & & \\ & & $30.4$ & & & & & \\ 6 & 3 & $21.4$ & & & & & \\ & & $18.1$ & & & & & \\ & 4 & $21.0$ & $19.2$ & & & & \\ & & $21.0$ & $17.8$ & & & & \\ & 5 & $19.7$ & & & & & \\ 8 & 3 & $18.7$ & $16.4$ & $15.2$ & $10.4$ & $15.5$ & $13.3$ \\ & & $14.3$ & $17.3$ & $10.4$ & $14.7$ & $15.2$ & $19.2$ \\ & 5 & $15.8$ & & & & & \\ & & $15.0$ & & & & & \\ \bottomrule \end{tabular} > toLatex(tabular(Species + Hline(2:5) + 1 ~ Heading() * + mean * All(iris), data = iris)) \begin{tabular}{lcccc} \toprule Species & Sepal.Length & Sepal.Width & Petal.Length & \multicolumn{1}{c}{Petal.Width} \\ \midrule setosa & $5.006$ & $3.428$ & $1.462$ & $0.246$ \\ versicolor & $5.936$ & $2.770$ & $4.260$ & $1.326$ \\ virginica & $6.588$ & $2.974$ & $5.552$ & $2.026$ \\ \cmidrule(lr){2-5} % & & & & \\ All & $5.843$ & $3.057$ & $3.758$ & $1.199$ \\ \bottomrule \end{tabular} > stderr <- function(x) sd(x)/sqrt(length(x)) > toLatex(tabular((Species + 1) ~ All(iris) * PlusMinus(mean, + stderr, digits = 1), data = iris)) \begin{tabular}{lcccccccc} \toprule Species & \multicolumn{2}{c}{Sepal.Length} & \multicolumn{2}{c}{Sepal.Width} & \multicolumn{2}{c}{Petal.Length} & \multicolumn{2}{c}{Petal.Width} \\ \midrule setosa & \multicolumn{1}{r@{}}{$5.01$} & \multicolumn{1}{@{ $\pm$ }l}{$0.05$} & \multicolumn{1}{r@{}}{$3.43$} & \multicolumn{1}{@{ $\pm$ }l}{$0.05$} & \multicolumn{1}{r@{}}{$1.46$} & \multicolumn{1}{@{ $\pm$ }l}{$0.02$} & \multicolumn{1}{r@{}}{$0.25$} & \multicolumn{1}{@{ $\pm$ }l}{$0.01$} \\ versicolor & \multicolumn{1}{r@{}}{$5.94$} & \multicolumn{1}{@{ $\pm$ }l}{$0.07$} & \multicolumn{1}{r@{}}{$2.77$} & \multicolumn{1}{@{ $\pm$ }l}{$0.04$} & \multicolumn{1}{r@{}}{$4.26$} & \multicolumn{1}{@{ $\pm$ }l}{$0.07$} & \multicolumn{1}{r@{}}{$1.33$} & \multicolumn{1}{@{ $\pm$ }l}{$0.03$} \\ virginica & \multicolumn{1}{r@{}}{$6.59$} & \multicolumn{1}{@{ $\pm$ }l}{$0.09$} & \multicolumn{1}{r@{}}{$2.97$} & \multicolumn{1}{@{ $\pm$ }l}{$0.05$} & \multicolumn{1}{r@{}}{$5.55$} & \multicolumn{1}{@{ $\pm$ }l}{$0.08$} & \multicolumn{1}{r@{}}{$2.03$} & \multicolumn{1}{@{ $\pm$ }l}{$0.04$} \\ All & \multicolumn{1}{r@{}}{$5.84$} & \multicolumn{1}{@{ $\pm$ }l}{$0.07$} & \multicolumn{1}{r@{}}{$3.06$} & \multicolumn{1}{@{ $\pm$ }l}{$0.04$} & \multicolumn{1}{r@{}}{$3.76$} & \multicolumn{1}{@{ $\pm$ }l}{$0.14$} & \multicolumn{1}{r@{}}{$1.20$} & \multicolumn{1}{@{ $\pm$ }l}{$0.06$} \\ \bottomrule \end{tabular} > lcl <- function(x) mean(x) - qt(0.975, df = length(x) - + 1) * stderr(x) > ucl <- function(x) mean(x) + qt(0.975, df = length(x) - + 1) * stderr(x) > toLatex(tabular((Species + 1) ~ All(iris) * Paste(lcl, + ucl, digits = 2, head = "95\\% CI", prefix = "[", sep = ",", + postfix = "]"), da .... [TRUNCATED] \begin{tabular}{lcccccccc} \toprule & \multicolumn{2}{c}{Sepal.Length} & \multicolumn{2}{c}{Sepal.Width} & \multicolumn{2}{c}{Petal.Length} & \multicolumn{2}{c}{Petal.Width} \\ \cmidrule(lr){2-3}\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9} Species & \multicolumn{2}{c}{95\% CI} & \multicolumn{2}{c}{95\% CI} & \multicolumn{2}{c}{95\% CI} & \multicolumn{2}{c}{95\% CI} \\ \midrule setosa & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$4.91$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$5.11$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$3.32$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$3.54$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$1.41$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$1.51$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$0.22$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$0.28$} \\ versicolor & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$5.79$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$6.08$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$2.68$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$2.86$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$4.13$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$4.39$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$1.27$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$1.38$} \\ virginica & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$6.41$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$6.77$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$2.88$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$3.07$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$5.40$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$5.71$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$1.95$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$2.10$} \\ All & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$5.71$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$5.98$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$2.99$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$3.13$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$3.47$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$4.04$} & \multicolumn{1}{@{\hspace{\tabcolsep}[}c@{,}}{$1.08$} & \multicolumn{1}{c@{]\hspace{\tabcolsep}}}{$1.32$} \\ \bottomrule \end{tabular} > subset <- 1:15 > toLatex(tabular(RowFactor(subset, "$i$", spacing = 5) ~ + All(iris[subset, ], factor = as.character) * Heading() * + identity)) \begin{tabular}{lccccc} \toprule $i$ & Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & \multicolumn{1}{c}{Species} \\ \midrule \nopagebreak 1 & $5.1$ & $3.5$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 2 & $4.9$ & $3.0$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 3 & $4.7$ & $3.2$ & $1.3$ & $0.2$ & setosa \\ \nopagebreak 4 & $4.6$ & $3.1$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 5 & $5.0$ & $3.6$ & $1.4$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}6 & $5.4$ & $3.9$ & $1.7$ & $0.4$ & setosa \\ \nopagebreak 7 & $4.6$ & $3.4$ & $1.4$ & $0.3$ & setosa \\ \nopagebreak 8 & $5.0$ & $3.4$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 9 & $4.4$ & $2.9$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 10 & $4.9$ & $3.1$ & $1.5$ & $0.1$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}11 & $5.4$ & $3.7$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 12 & $4.8$ & $3.4$ & $1.6$ & $0.2$ & setosa \\ \nopagebreak 13 & $4.8$ & $3.0$ & $1.4$ & $0.1$ & setosa \\ \nopagebreak 14 & $4.3$ & $3.0$ & $1.1$ & $0.1$ & setosa \\ \nopagebreak 15 & $5.8$ & $4.0$ & $1.2$ & $0.2$ & setosa \\ \bottomrule \end{tabular} > set.seed(1000) > dat <- expand.grid(Block = 1:3, Treatment = LETTERS[1:2], + Subset = letters[1:2]) > dat$Response <- rnorm(12) > toLatex(tabular(RowFactor(Block, spacing = 1) * RowFactor(Treatment, + spacing = 1, space = 0.5) * Factor(Subset) ~ Response * Heading() * + .... [TRUNCATED] \begin{tabular}{cccc} \toprule Block & Treatment & Subset & \multicolumn{1}{c}{Response} \\ \midrule \nopagebreak 1 & \nopagebreak A & a & $-0.44578$ \\ & & b & $-0.47587$ \\ & \rule{0pt}{1.2\normalbaselineskip}B & a & $\phantom{-}0.63939$ \\ & & b & $-1.37312$ \\ \rule{0pt}{1.7\normalbaselineskip}2 & \nopagebreak A & a & $-1.20586$ \\ & & b & $\phantom{-}0.71975$ \\ & \rule{0pt}{1.2\normalbaselineskip}B & a & $-0.78655$ \\ & & b & $-0.98243$ \\ \rule{0pt}{1.7\normalbaselineskip}3 & \nopagebreak A & a & $\phantom{-}0.04113$ \\ & & b & $-0.01851$ \\ & \rule{0pt}{1.2\normalbaselineskip}B & a & $-0.38549$ \\ & & b & $-0.55449$ \\ \bottomrule \end{tabular} > subset <- 1:50 > toLatex(tabular(RowFactor(subset, "$i$", spacing = 5, + suppressfirst = FALSE) ~ All(iris[subset, ], factor = as.character) * + Heading() .... [TRUNCATED] \begin{longtable}{lccccc} \caption{This table crosses page boundaries.}\\ \toprule $i$ & Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & \multicolumn{1}{c}{Species} \\ \midrule\\[-2\normalbaselineskip]\endhead\hline\endfoot \rule{0pt}{1.7\normalbaselineskip}1 & $5.1$ & $3.5$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 2 & $4.9$ & $3.0$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 3 & $4.7$ & $3.2$ & $1.3$ & $0.2$ & setosa \\ \nopagebreak 4 & $4.6$ & $3.1$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 5 & $5.0$ & $3.6$ & $1.4$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}6 & $5.4$ & $3.9$ & $1.7$ & $0.4$ & setosa \\ \nopagebreak 7 & $4.6$ & $3.4$ & $1.4$ & $0.3$ & setosa \\ \nopagebreak 8 & $5.0$ & $3.4$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 9 & $4.4$ & $2.9$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 10 & $4.9$ & $3.1$ & $1.5$ & $0.1$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}11 & $5.4$ & $3.7$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 12 & $4.8$ & $3.4$ & $1.6$ & $0.2$ & setosa \\ \nopagebreak 13 & $4.8$ & $3.0$ & $1.4$ & $0.1$ & setosa \\ \nopagebreak 14 & $4.3$ & $3.0$ & $1.1$ & $0.1$ & setosa \\ \nopagebreak 15 & $5.8$ & $4.0$ & $1.2$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}16 & $5.7$ & $4.4$ & $1.5$ & $0.4$ & setosa \\ \nopagebreak 17 & $5.4$ & $3.9$ & $1.3$ & $0.4$ & setosa \\ \nopagebreak 18 & $5.1$ & $3.5$ & $1.4$ & $0.3$ & setosa \\ \nopagebreak 19 & $5.7$ & $3.8$ & $1.7$ & $0.3$ & setosa \\ \nopagebreak 20 & $5.1$ & $3.8$ & $1.5$ & $0.3$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}21 & $5.4$ & $3.4$ & $1.7$ & $0.2$ & setosa \\ \nopagebreak 22 & $5.1$ & $3.7$ & $1.5$ & $0.4$ & setosa \\ \nopagebreak 23 & $4.6$ & $3.6$ & $1.0$ & $0.2$ & setosa \\ \nopagebreak 24 & $5.1$ & $3.3$ & $1.7$ & $0.5$ & setosa \\ \nopagebreak 25 & $4.8$ & $3.4$ & $1.9$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}26 & $5.0$ & $3.0$ & $1.6$ & $0.2$ & setosa \\ \nopagebreak 27 & $5.0$ & $3.4$ & $1.6$ & $0.4$ & setosa \\ \nopagebreak 28 & $5.2$ & $3.5$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 29 & $5.2$ & $3.4$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 30 & $4.7$ & $3.2$ & $1.6$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}31 & $4.8$ & $3.1$ & $1.6$ & $0.2$ & setosa \\ \nopagebreak 32 & $5.4$ & $3.4$ & $1.5$ & $0.4$ & setosa \\ \nopagebreak 33 & $5.2$ & $4.1$ & $1.5$ & $0.1$ & setosa \\ \nopagebreak 34 & $5.5$ & $4.2$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 35 & $4.9$ & $3.1$ & $1.5$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}36 & $5.0$ & $3.2$ & $1.2$ & $0.2$ & setosa \\ \nopagebreak 37 & $5.5$ & $3.5$ & $1.3$ & $0.2$ & setosa \\ \nopagebreak 38 & $4.9$ & $3.6$ & $1.4$ & $0.1$ & setosa \\ \nopagebreak 39 & $4.4$ & $3.0$ & $1.3$ & $0.2$ & setosa \\ \nopagebreak 40 & $5.1$ & $3.4$ & $1.5$ & $0.2$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}41 & $5.0$ & $3.5$ & $1.3$ & $0.3$ & setosa \\ \nopagebreak 42 & $4.5$ & $2.3$ & $1.3$ & $0.3$ & setosa \\ \nopagebreak 43 & $4.4$ & $3.2$ & $1.3$ & $0.2$ & setosa \\ \nopagebreak 44 & $5.0$ & $3.5$ & $1.6$ & $0.6$ & setosa \\ \nopagebreak 45 & $5.1$ & $3.8$ & $1.9$ & $0.4$ & setosa \\ \rule{0pt}{1.7\normalbaselineskip}46 & $4.8$ & $3.0$ & $1.4$ & $0.3$ & setosa \\ \nopagebreak 47 & $5.1$ & $3.8$ & $1.6$ & $0.2$ & setosa \\ \nopagebreak 48 & $4.6$ & $3.2$ & $1.4$ & $0.2$ & setosa \\ \nopagebreak 49 & $5.3$ & $3.7$ & $1.5$ & $0.2$ & setosa \\ \nopagebreak 50 & $5.0$ & $3.3$ & $1.4$ & $0.2$ & setosa \\ \bottomrule \end{longtable} > subset <- 1:10 > toLatex(tabular(Factor(subset) ~ All(iris[subset, + ], factor = as.character) * Heading() * identity, suppress = 3)) \begin{tabular}{ccccc} \toprule Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & \multicolumn{1}{c}{Species} \\ \midrule $5.1$ & $3.5$ & $1.4$ & $0.2$ & setosa \\ $4.9$ & $3.0$ & $1.4$ & $0.2$ & setosa \\ $4.7$ & $3.2$ & $1.3$ & $0.2$ & setosa \\ $4.6$ & $3.1$ & $1.5$ & $0.2$ & setosa \\ $5.0$ & $3.6$ & $1.4$ & $0.2$ & setosa \\ $5.4$ & $3.9$ & $1.7$ & $0.4$ & setosa \\ $4.6$ & $3.4$ & $1.4$ & $0.3$ & setosa \\ $5.0$ & $3.4$ & $1.5$ & $0.2$ & setosa \\ $4.4$ & $2.9$ & $1.4$ & $0.2$ & setosa \\ $4.9$ & $3.1$ & $1.5$ & $0.1$ & setosa \\ \bottomrule \end{tabular} > toLatex(tabular(Multicolumn(Species, width = 3, levelnames = paste("\\textit{Iris", + levels(Species), "}")) * (mean + sd) ~ All(iris), data = .... [TRUNCATED] \begin{tabular}{llcccc} \toprule & & Sepal.Length & Sepal.Width & Petal.Length & \multicolumn{1}{c}{Petal.Width} \\ \midrule \multicolumn{3}{l}{\textit{Iris setosa }} \\ & mean & $5.0060$ & $3.4280$ & $1.4620$ & $0.2460$ \\ & sd & $0.3525$ & $0.3791$ & $0.1737$ & $0.1054$ \\ \multicolumn{3}{l}{\textit{Iris versicolor }} \\ & mean & $5.9360$ & $2.7700$ & $4.2600$ & $1.3260$ \\ & sd & $0.5162$ & $0.3138$ & $0.4699$ & $0.1978$ \\ \multicolumn{3}{l}{\textit{Iris virginica }} \\ & mean & $6.5880$ & $2.9740$ & $5.5520$ & $2.0260$ \\ & sd & $0.6359$ & $0.3225$ & $0.5519$ & $0.2747$ \\ \bottomrule \end{tabular} > df <- data.frame(A = factor(c("$", "\\")), B_label = 1:2) > options(tables.texify = TRUE) > toLatex(tabular(mean ~ Factor(A) * All(df), data = df)) Loading required namespace: Hmisc Failed with error: ‘there is no package called ‘Hmisc’’ Loading required namespace: Hmisc Failed with error: ‘there is no package called ‘Hmisc’’ When sourcing ‘tables.R’: Error: there is no package called ‘Hmisc’ Execution halted ‘tables.Rnw’... failed Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.9.25
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘HTML.Rmd’ using rmarkdown Quitting from lines 142-150 [unnamed-chunk-13] (HTML.Rmd) Error: processing vignette 'HTML.Rmd' failed with diagnostics: there is no package called 'kableExtra' --- failed re-building ‘HTML.Rmd’ --- re-building ‘knitrTables.Rmd’ using rmarkdown Failed with error: 'there is no package called 'Hmisc'' Failed with error: 'there is no package called 'Hmisc'' Quitting from lines 1134-1136 [unnamed-chunk-46] (knitrTables.Rmd) Error: processing vignette 'knitrTables.Rmd' failed with diagnostics: there is no package called 'Hmisc' --- failed re-building ‘knitrTables.Rmd’ --- re-building ‘tables.Rnw’ using Sweave Loading required namespace: Hmisc Failed with error: ‘there is no package called ‘Hmisc’’ Loading required namespace: Hmisc Failed with error: ‘there is no package called ‘Hmisc’’ Error: processing vignette 'tables.Rnw' failed with diagnostics: chunk 50 Error in loadNamespace(x) : there is no package called ‘Hmisc’ --- failed re-building ‘tables.Rnw’ SUMMARY: processing the following files failed: ‘HTML.Rmd’ ‘knitrTables.Rmd’ ‘tables.Rnw’ Error: Vignette re-building failed. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc