感谢您发布如此美好而详细的问题。
这get_databar
函数用于用新值替换其中一列,例如
> get_databar(1:5)
[1] "\\databar[white]{1}" "\\databar[green!30]{2}" "\\databar[green!50]{3}"
[4] "\\databar[green!70]{4}" "\\databar[green!90]{5}"
只是按照您的评论,我已经调整了数据栏https://tex.stackexchange.com/questions/81994/partially-coloring-cell-background-with-histograms https://tex.stackexchange.com/questions/81994/partially-coloring-cell-background-with-histograms,因为它非常棒,而且有点超出了我的乳胶编码能力。
我制作了两个使用 databar 函数的示例
独立的 sweave/knitr 脚本在这里
\documentclass{article}
\usepackage[table,dvipsnames]{xcolor}% http://ctan.org/pkg/xcolor
\usepackage[nomessages]{fp}% http://ctan.org/pkg/
\begin{document}
<<load_libraries, echo = FALSE, eval = TRUE, results ="hide">>=
library(knitr)
library(xtable)
@
<<get_databar, echo = FALSE, eval = TRUE, results ="hide">>=
#' @title get_databar creates labels for xtable
#' @description colors labels and assigns max_value to .GlobalEnv
#' @param values the vector of values to cut
#' @param color one color that is interpretable by the xcolor dvips
#' one of 68 standard colors known to dvips \link{https://en.wikibooks.org/wiki/LaTeX/Colors}, Default: 'green'
#' @param min_value min value in the vector, Default: NULL
#' @param max_value max value in the vector, Default: NULL
#' @param column_width the with of the colum to produce
#' @param transparent, do you want transparent labels for low values, Default: TRUE
#' @return A vector to replace orignial column
get_databar <- function(values,
color = "green",
min_value=NULL,
max_value=NULL,
column_width=10,
transparent=TRUE)
{
if (!is.numeric(values)) stop("values should be a numeric")
if (is.null(min_value)) min_value <- min(values,na.rm=TRUE)-diff(range(values, na.rm=TRUE))/10
if (is.null(max_value)) max_value <- max(values,na.rm=TRUE)
# assign max_value in .GlobalEnv
maxnum <<- max_value
# sequence of breaks
mybreaks <- seq(min_value, max_value, length.out=10)
if (transparent){
cols <- c(paste0(color,"!",seq(10, 90, by=10)))
color_cut_factor <- cut(x=values,
breaks = mybreaks,
labels = cols,
include.lowest = FALSE,
right = TRUE)
color_cut <- as.character(color_cut_factor)
} else {
color_cut=rep(color, length(values))
}
edited_values <- paste0("\\databar[", color_cut,"]{", values,"}")
return(as.character(edited_values))
}
@
<<test, echo = FALSE, eval = TRUE, results ="hide">>=
data(mtcars)
tab = mtcars
tab0<-tab[1:10,1:3]
tab2<-tab[1:10,1:3]
tab0[,1]<-get_databar(tab0[,1])
tab2[,1]<-get_databar(tab2[,1],
color="BlueViolet",
min_value=0,
max_value=max(tab2[,1]),
transparent = FALSE)
print(xtable(tab0,
align = c("l","l","l","l"),
caption = "standard example"),
sanitize.text.function = identity,
file="table0_with_bar_colors.tex")
print(xtable(tab2,
align = c("l","l","l","l"),
caption = "example with dvips color BlueViolet and transparent = FALSE"),
sanitize.text.function = identity,
file="table2_with_bar_colors.tex")
@
%--------------------------------
% This is the new commands blocks
% The first \maxnum will read from R to get the maximum number in the table
% The second creates the databar command, with two parameters, the first default
% parameter is the color, set to green!25
%--------------------------------------
\newcommand{\maxnum}
{%
\Sexpr{maxnum}
}
\newlength{\maxlen}
% databar[color]{value}
\newcommand{\databar}[2][green!25]
{%
\settowidth{\maxlen}{\maxnum}%
\addtolength{\maxlen}{\tabcolsep}%
\FPeval\result{round(#2/\maxnum:4)}%
\rlap{\color{#1}\hspace*{-.5\tabcolsep}\rule[-.05\ht\strutbox]{\result\maxlen}{.95\ht\strutbox}}%
\makebox[\dimexpr\maxlen-\tabcolsep][r]{#2}%
}
%--------------------------------------
\input{table0_with_bar_colors.tex}
\input{table2_with_bar_colors.tex}
\end{document}
如果您需要放置两个表,那么我有必要在下一个块之后和之前添加\input
对于该表,以下命令(\renewcommand
代替\newcommand
)
\renewcommand{\maxnum}
{%
\Sexpr{maxnum}
}