count_na: Assess pattern of missing data
In ddsjoberg/bstfun: Functions for the MSK Biostatistics Department
count_na R Documentation
Assess pattern of missing data
Description
Pass a data frame and the missing pattern of all columns in the data frame.
The data frame is returned unmodified.
Usage
count_na(data, include = NULL, exclude = NULL)
Arguments
data
data frame
include
character vector of names to include
exclude
character vector of names to exclude
Value
original data frame invisibly returned
Examples
trial %>% count_na()
ddsjoberg/bstfun documentation built on July 4, 2023, 10:59 a.m.
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| count_na | R Documentation |
Assess pattern of missing data
Description
Pass a data frame and the missing pattern of all columns in the data frame. The data frame is returned unmodified.
Usage
count_na(data, include = NULL, exclude = NULL)
Arguments
data |
data frame |
include |
character vector of names to include |
exclude |
character vector of names to exclude |
Value
original data frame invisibly returned
Examples
trial %>% count_na()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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