which_na: find unique obs with specific characteristics
In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)
View source: R/low-hanging_indicators.R
which_na R Documentation
find unique obs with specific characteristics
Description
which_na finds out which observations are NA in a list of vectors.
Usage
which_na(l)
which_negative(l)
which_not_ratio(l)
Arguments
l
list of vectors
Details
which_negative finds out which observations are negative in a list of
vectors.
which_not_ratio finds out which observations are not between 0 and 1 in a
list of vectors
Value
numeric vector with index
Functions
-
which_negative(): finds out which observations are negative in a list of vectors
-
which_not_ratio(): finds out which observations are not between 0 and 1 in a
list of vectors
PIP-Technical-Team/wbpip documentation built on Nov. 29, 2024, 6:57 a.m.
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.
View source: R/low-hanging_indicators.R
| which_na | R Documentation |
find unique obs with specific characteristics
Description
which_na finds out which observations are NA in a list of vectors.
Usage
which_na(l)
which_negative(l)
which_not_ratio(l)
Arguments
l |
list of vectors |
Details
which_negative finds out which observations are negative in a list of
vectors.
which_not_ratio finds out which observations are not between 0 and 1 in a
list of vectors
Value
numeric vector with index
Functions
-
which_negative(): finds out which observations are negative in a list of vectors -
which_not_ratio(): finds out which observations are not between 0 and 1 in a list of vectors
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.