intlen: Preferred Interval Length for Regularizing Irregular...
In ILRCM: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering
intlen R Documentation
Preferred Interval Length for Regularizing Irregular Longitudinal Data
Description
This function calculates the optimal interval length for regularizing
irregular longitudinal data based on the given subject ID and time columns.
Usage
intlen(data, subject_col, time_col)
Arguments
data
A data frame containing the irregular longitudinal data.
subject_col
The column name for unique subject IDs.
time_col
The column name for time points.
Details
The function calculates the optimal interval length based on the observed range of time points and the average number of measurements per subject.
Value
Computed preferred interval length.
Examples
sdata <- sdata[1:100,]
intlen(sdata, "subject_id", "time")
ILRCM documentation built on Aug. 12, 2025, 1:08 a.m.
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| intlen | R Documentation |
Preferred Interval Length for Regularizing Irregular Longitudinal Data
Description
This function calculates the optimal interval length for regularizing irregular longitudinal data based on the given subject ID and time columns.
Usage
intlen(data, subject_col, time_col)
Arguments
data |
A data frame containing the irregular longitudinal data. |
subject_col |
The column name for unique subject IDs. |
time_col |
The column name for time points. |
Details
The function calculates the optimal interval length based on the observed range of time points and the average number of measurements per subject.
Value
Computed preferred interval length.
Examples
sdata <- sdata[1:100,]
intlen(sdata, "subject_id", "time")
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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