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Coloring / highlighting the values ​​of R ftable () in knitr / Sweave

I generate many ftable()cross-references for a descriptive report. Example:

              AUS  BEL  BUL  EST  FRA  GEO  GER  HUN  ITA  NET  NOR  ROM  RUS

30- primary    0.06 0.03 0.07 0.03 0.02 0.03 0.03 0.02 0.05 0.03 0.05 0.04 0.02
    secondary  0.30 0.09 0.16 0.10 0.10 0.14 0.10 0.16 0.11 0.08 0.08 0.09 0.11 
    tertiary   0.05 0.07 0.04 0.05 0.07 0.06 0.02 0.04 0.02 0.05 0.06 0.02 0.09
30+ primary    0.07 0.16 0.12 0.07 0.16 0.03 0.05 0.11 0.35 0.21 0.09 0.17 0.03
    secondary  0.40 0.20 0.30 0.29 0.25 0.35 0.35 0.34 0.27 0.20 0.27 0.34 0.26
    tertiary   0.13 0.23 0.13 0.18 0.17 0.17 0.18 0.09 0.09 0.23 0.23 0.06 0.24
60+ primary    0.00 0.12 0.10 0.13 0.14 0.07 0.05 0.12 0.09 0.11 0.06 0.19 0.12
    secondary  0.00 0.05 0.05 0.08 0.06 0.10 0.14 0.09 0.02 0.04 0.11 0.07 0.06
    tertiary   0.00 0.05 0.03 0.06 0.03 0.04 0.07 0.03 0.01 0.05 0.06 0.02 0.07

I am looking for a function that can accept output ftable()or table()high values ​​that deviate from the average value of a string, or assign a common gradient to a text of values, for example. 0 to 100% of the value is colored red to green.

Now the result is processed via knitr , but I'm not sure at what point in the toolchain I could intervene and add color based on the relative size of the values.

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2 answers

You can use the function latexin the package Hmisc.

# Example shamelessly copied from http://www.karlin.mff.cuni.cz/~kulich/vyuka/Rdoc/harrell-R-latex.pdf
cat('
  \\documentclass{article}
  \\usepackage[table]{xcolor}
  \\begin{document}
  <<results=tex>>=
  library(Hmisc)
  d <- head(iris)
  cellTex <- matrix(rep("", nrow(d) * ncol(d)), nrow=nrow(d))
  cellTex[2,2] <- "cellcolor{red}"
  cellTex[2,3] <- "color{red}"
  cellTex[5,1] <- "rowcolor{yellow}"
  latex(d, file = "", cellTexCmds = cellTex, rowname=NULL)
  @
  \\end{document}',
  file="tmp.Rnw" )
Sweave("tmp.Rnw")
library(utils)
texi2pdf("tmp.tex")
+5

R, xtable. CRAN, . , color latex. :

library(xtable)
n = 100
cat_country = c("NL","BE","HU")
cat_prim = c("primary","secondary","tertiary")
dat = data.frame(country = sample(cat_country, n, replace = TRUE), 
                 prim = sample(cat_prim, n, replace = TRUE))
ftable_dat = ftable(dat)

## Make latex table:
latex_table = xtable(as.table(ftable_dat))

, , (). , xtable :

latex_table = within(latex_table, {
#   browser()
  primary = ifelse(primary > 12, sprintf("\\textbf{%s}", primary), primary)
  #primary = sub("\\{", "{", primary)
})
printed_table = print(latex_table)
printed_table = sub("backslash", "\\", printed_table)
printed_table = sub("\\\\}", "}", printed_table)
printed_table = sub("\\\\\\{", "{", printed_table)
printed_table = sub("\\$", "\\", printed_table)
printed_table = sub("\\$", "\\", printed_table)
cat(printed_table)

:

% latex table generated in R 2.14.1 by xtable 1.6-0 package
% Thu Feb 16 13:10:55 2012
\begin{table}[ht]
\begin{center}
\begin{tabular}{rrrr}
  \hline
 & primary & secondary & tertiary \\ 
  \hline
BE & 10 &   5 &  11 \\ 
  HU & \textbf{13} &  13 &   8 \\ 
  NL & 11 &  17 &  12 \\ 
   \hline

\ {} \ {} \ {}

, . , - ?

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