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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.
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")
::install_github("dmurdoch/tables") devtools
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))
<- rnorm(125, sd=100)
X <- factor(sample(letters[1:5], 125, replace = TRUE))
Group <- tabular( Group ~
tab 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}"
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.