how_many_nas: Find out how many missing values are in each column of a data...
In mattmills49/modeler: Exploratory Data Analysis and Modeling Helper Functions
Description
Usage
Arguments
Value
Examples
Description
how_many_nas finds the number of missing values in the columns of a
data frame. You can also have it return the percentage of missing values
instead of the raw totals.
Usage
1
how_many_nas(x, p = F)
Arguments
x
a data frame to examine
p
a logical flag indicating if the results should be in percentages.
Defaults to FALSE
Value
a named vector with the column names as the names and the number
or percentage of missing values as the values
Examples
1
2
3
set.seed(12345)
how_many_nas(mtcars)
how_many_nas(iris, p = T)
mattmills49/modeler documentation built on May 21, 2019, 1:25 p.m.
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Description Usage Arguments Value Examples
Description
how_many_nas finds the number of missing values in the columns of a
data frame. You can also have it return the percentage of missing values
instead of the raw totals.
Usage
1 | how_many_nas(x, p = F)
|
Arguments
x |
a data frame to examine |
p |
a logical flag indicating if the results should be in percentages.
Defaults to |
Value
a named vector with the column names as the names and the number or percentage of missing values as the values
Examples
1 2 3 | set.seed(12345)
how_many_nas(mtcars)
how_many_nas(iris, p = T)
|
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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