util_observations_in_subgroups: Utility function observations in subgroups
In dataquieR: Data Quality in Epidemiological Research
View source: R/util_observations_in_subgroups.R
util_observations_in_subgroups R Documentation
Utility function observations in subgroups
Description
This function uses !is.na to count the number of non-missing observations in subgroups of
the data (list) and in a set of user defined response variables. In some applications it is
required that the number of observations per e.g. factor level is higher than a user-defined
minimum number.
Usage
util_observations_in_subgroups(x, rvs)
Arguments
x
data frame
rvs
variable names
Value
matrix of flags
dataquieR documentation built on July 26, 2023, 6:10 p.m.
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View source: R/util_observations_in_subgroups.R
| util_observations_in_subgroups | R Documentation |
Utility function observations in subgroups
Description
This function uses !is.na to count the number of non-missing observations in subgroups of
the data (list) and in a set of user defined response variables. In some applications it is
required that the number of observations per e.g. factor level is higher than a user-defined
minimum number.
Usage
util_observations_in_subgroups(x, rvs)
Arguments
x |
data frame |
rvs |
variable names |
Value
matrix of flags
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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