statar | R package for data manipulation — inspired by Stata 's API | Development Tools library
kandi X-RAY | statar Summary
kandi X-RAY | statar Summary
This package contains R functions corresponding to useful Stata commands. The package includes: - [panel data functions] vignettes/panel-data.Rmd) (monthly/quarterly dates, lead/lag, fillin) - [data.frame functions] vignettes/data-frames.Rmd) (tabulate, merge) - [vector functions] vignettes/vector.Rmd) (xtile, pctile, winsorize) - [graph functions] vignettes/graph.Rmd) (binscatter).
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QUESTION
I am brand-new to R and trying to understand the basic syntax of functions.
In both of the functions f(x1)
and g(x,1)
below, I would like to generate y=2
. Only the former works.
I'm familiar with the str_interp()
and paste()
functions, but those seem to work only in the context of strings, not variables. E.g., prefixnum <- str_interp("${prefix}${num}")
doesn't solve the issue.
My motivation is that I'd like to call a function by specifying components of variable names. My background is in Stata, where placeholders are designated with a backtick and a tick (e.g., `prefix'`num'). I've consulted a few relevant resources, to no avail.
As an aside, I've read varying thoughts about whether variables should be prefixed with its dataframe (e.g., df$var
). What is the logic behind whether or not to follow this convention? Why does f(df$x1)
work, but writing f(x1)
and modifying the function to be y <- df$var*2
not work?
ANSWER
Answered 2020-Jul-01 at 01:47Possibly you are trying to pass column name as an argument to the function. You can try to paste prefix
and num
together to get column name and use that to subset dataframe.
QUESTION
I ran into some problem when trying to use the statar::xtile function together with dplyr.
I have a dataset called "resp_rate" as follows:
...ANSWER
Answered 2020-Jan-27 at 17:01The 'resp_rate' is the object used and if we do with that object, it worked.
QUESTION
I have to rewrite an old do file written in Stata into R. I am stuck with a reshape command, which I would appreciate some help with.
The data looks like this:
...ANSWER
Answered 2019-Dec-04 at 15:58This should do the trick:
QUESTION
Original Data
...ANSWER
Answered 2018-May-18 at 12:35We could use complete
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