Published August 5, 2018
| Version 2.7.4
Software
Open
sjmisc: Data and Variable Transformation Functions
Description
New functions
has_na()
to check if variables or observations in a data frame containNA
,NaN
orInf
values. Convenient shortcuts for this function arecomplete_cases()
,incomplete_cases()
,complete_vars()
andincomplete_vars()
.total_mean()
to compute the overall mean of all values from all columns in a data frame.prcn()
to convert numeric scalars between 0 and 1 into a character-percentage value.numeric_to_factor()
to convert numeric variables into factors, using associated value labels as factor levels.
Changes to functions
set_na()
now also replaces different values per variable intoNA
.- Changed behaviour of
row_sums()
and missing values.row_sums()
gets an
-argument and now computes row sums if a row has at leastn
non-missing values.
Files
strengejacke/sjmisc-2.7.4.zip
Files
(698.5 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/strengejacke/sjmisc/tree/2.7.4 (URL)