v. 1.2.0
Summary tables are frequently constructed during data analysis either to get an overview over the dataset or for a report or publication. They may e.g. include patient baseline characteristics—commonly found as table 1 in biomedical publications—or outcome variables with effect measures and p-values.
The btable-package can summarize continuous, categorical, count and time-to-event variables within one table using various descriptives. The summary can be grouped using a grouping variable, and various effect measures with confidence intervals and p-values can be calculated.
The table is constructed in a two-step approach using two functions:
btable produces an unformatted, raw table, which is then formatted by
btable_format to produce a final, publication-ready table.
By default, the raw table contains all summary measures, and—if there are two groups—effect measures and p-values.
Optionally, the table can be restricted to effect measures of choice and a number of alternative calculations
for confidence intervals are available.
In order to install btable from github the github-package is required:
net install github, from("https://haghish.github.io/github/")
You can then install the development version of btable with:
github install CTU-Bern/btable
# load example dataset
sysuse auto2
# generate table
tempfile rawtab
btable price mpg rep78 headroom, by(foreign) saving("`rawtab'")
# format table
btable_format using "`rawtab'", clear
Lukas Bütikofer
CTU Bern
lukas.buetikofer@ctu.unibe.ch
https://github.com/CTU-Bern/btable