Comments (3)
D4ff, thanks for your feedback.
The information you mention is the amount of information that social scientists usually require of a published survey data set. Without it a codebook would be almost empty. I wonder for what purposes do you need codebook()
anyway? If there is "popular demand" for such a set of information I would implement the appropriate function in R.
On the other hand, I suppose that the output of codebook()
is sufficiently regular to allow for some post processing by a Ruby or Python script.
from memisc.
Here is a suggestion using tibble (you need tidyverse and magrittr). The parameter x
below receives the output of the function memisc::spss.system.file()
:
get.cb <- function(x)
{
options(warn=-1)
on.exit(options(warn=0))
## Debug/Monitoring message --------------------------
msg <- paste0('\n','Creating codebook ...', '\n'); cat(msg)
## ---------------------------------------------------
tab = memisc::codebook(x) %>%
tibble::data_frame(var = names(.),
desc = purrr::map_chr([email protected], function(.x) .x@[email protected]) %>% stringr::str_trim(.),
coding = [email protected]) %>%
dplyr::mutate(coding = purrr::map(.x=coding, function(.x) get.cb.labels(.x)) ) %>%
dplyr::select(var, desc, coding)
return(tab)
}
from memisc.
Since release 0.99.16 there is a function codeplan()
which produces a data frame with information about variable labels, value labels, etc. It should be easy to select rows and columns from such a data frame. Is this something you were thinking of?
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Related Issues (20)
- omit specific covariates in mtable [question] HOT 1
- summary.stats.default is unused HOT 1
- Fails to import variable with duplicate labels HOT 13
- Measure info and Custom Attributes HOT 2
- Probable issue with record length HOT 16
- Saving files to XLSX HOT 2
- Exhibit odds ration in the regression estimates table [question] HOT 2
- library(memisc) causes functions to print NAMESPACE cache information HOT 9
- Issue with new version of spss.system.file HOT 9
- Error when generating codebook HOT 8
- write_html error HOT 1
- as.character(as.item(..., missing.values = 0, ...)) returns NA instead of a string HOT 5
- deduplicate_labels() is painfully slow on large datasets HOT 2
- mtable() summary.stats not showing R-squared HOT 1
- unable to read spss HOT 1
- `cases` function won't recognize conditions involving `is.na()` HOT 1
- spss.fixed.file() dropping final observation HOT 4
- CRAN Update Request HOT 1
- Can you send me /memisc.0.99.22? HOT 2
- Error when missing.values="" HOT 7
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