The goal of tables is to compute and display complex tables of summary statistics.
Output may be in LaTeX, HTML, plain text, or an R matrix for further processing.
Installation
You can install the release version of orientlib using
install.packages("tables")You can install the development version of tables from GitHub with:
# install.packages("devtools")
devtools::install_github("dmurdoch/tables")Example
This is a basic example which shows you how to solve a common problem:
library(tables)
set.seed(123)
# In an R Markdown document, you don't want each table
# to output the HTML document header, so turn
# off that option:
table_options(htmloptions(head=FALSE))
X <- rnorm(125, sd=100)
Group <- factor(sample(letters[1:5], 125, replace = TRUE))
tab <- tabular( Group ~
(N=1) +
Format(digits=2)*X*
((Mean=mean) +
Heading("Std Dev")*sd)
)
# To print in plain text:
tab
#>
#> X
#> Group N Mean Std Dev
#> a 31 -6.84 82.50
#> b 28 13.06 97.04
#> c 17 -2.24 99.71
#> d 15 4.45 98.60
#> e 34 0.87 84.96
# To format in HTML:
toHTML(tab)| X | |||
|---|---|---|---|
| Group | N | Mean | Std Dev |
| a | 31 | -6.84 | 82.50 |
| b | 28 | 13.06 | 97.04 |
| c | 17 | -2.24 | 99.71 |
| d | 15 | 4.45 | 98.60 |
| e | 34 | 0.87 | 84.96 |
# To generate LaTeX code:
strsplit(toLatex(tab)$text, "\n")
#> [[1]]
#> [1] "\\begin{tabular}{lccc}"
#> [2] "\\hline"
#> [3] " & & \\multicolumn{2}{c}{X} \\\\ "
#> [4] "Group & N & Mean & \\multicolumn{1}{c}{Std Dev} \\\\ "
#> [5] "\\hline"
#> [6] "a & $31$ & $\\phantom{0}-6.84$ & $\\phantom{-}82.50$ \\\\"
#> [7] "b & $28$ & $\\phantom{-}13.06$ & $\\phantom{-}97.04$ \\\\"
#> [8] "c & $17$ & $\\phantom{0}-2.24$ & $\\phantom{-}99.71$ \\\\"
#> [9] "d & $15$ & $\\phantom{0}\\phantom{-}4.45$ & $\\phantom{-}98.60$ \\\\"
#> [10] "e & $34$ & $\\phantom{0}\\phantom{-}0.87$ & $\\phantom{-}84.96$ \\\\"
#> [11] "\\hline "
#> [12] "\\end{tabular}"