cols.exceed.level.threshold: Detects what columns in a data.table have more than a certain...
In mattmoo/SteppedWedgeAnalysis: Simulation and Analysis of Stepped Wedge Data
Description
Usage
Arguments
Value
Description
Detects what columns in a data.table have more than a certain number of
columns.
Usage
1
2
3
4
5
cols.exceed.level.threshold(
data.dt,
threshold = 1,
cols.to.ignore = c("iteration", "icc")
)
Arguments
data.dt
data.table with minimally participant ID and outcome.
threshold
The number of levels over which the column name will be
returned (Default: 1)
cols.to.ignore
Columns to not count (Default: c('iteration', 'icc'))
Value
A vector of strings which are the names of columns with numers of
levels exceeding the threshold.
mattmoo/SteppedWedgeAnalysis documentation built on Jan. 14, 2020, 12:25 a.m.
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Description Usage Arguments Value
Description
Detects what columns in a data.table have more than a certain number of columns.
Usage
1 2 3 4 5 | cols.exceed.level.threshold(
data.dt,
threshold = 1,
cols.to.ignore = c("iteration", "icc")
)
|
Arguments
data.dt |
data.table with minimally participant ID and outcome. |
threshold |
The number of levels over which the column name will be returned (Default: 1) |
cols.to.ignore |
Columns to not count (Default: c('iteration', 'icc')) |
Value
A vector of strings which are the names of columns with numers of levels exceeding the threshold.
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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