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Searchable variable explorer with labelled variables in RStudio’s Viewer Pane
From CRAN:
install.packages("varsExplore")
Development version:
::install_github("vladtarko/varsExplore") devtools
# import data
<- rio::import("http://www.qogdata.pol.gu.se/dataarchive/qog_std_cs_jan18.dta")
qog
# create variable explorer in RStudio's View Pane
vars_explore(qog)
This will create a searchable variable explorer, and calculate summary statistics for each variable.
The table is searchable, and you can, furthermore, arrange it, say, based on which variable has least missing values. For instance, search for “GDP per capita” and see which variable provides most complete information.
If you click on the (+) next to a variable, you will get both the
summary statistics, the unique values and, if present, the value labels.
The option value.labels.width
limits how many characters to
include in the “Value labels” and “Values” columns. Default is 500.
If you set minimal = TRUE
, only “Variable”,
“Description”, “Obs.”, and “Missing” will be shown (and none the summary
stats will be calculated).
vars_explore(qog, minimal = TRUE)
If you set silent = FALSE
the variable explorer will
also return the dataframe of summary statistics.
<- vars_explore(qog, silent = FALSE) qog_summary
This can be used to make summary statistics tables, e.g. for a paper.
This was made possible by Reigo Hendrikson’s datatable2
:
http://www.reigo.eu/2018/04/extending-dt-child-row-example/
As far as I know, Reigo hasn’t made this available in a package. It
is included in this package, with some minor modifications, and you can
use it with varsExplore::datatable2()
.
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.
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