Description Usage Arguments Details Value Author(s) Examples
Produces a vector containing summary measures computed within clusters.
1 2 |
y |
a vector, |
cluster |
vector, matrix, or list of variables defining clusters. Descriptive statistics will be computed within strata defined by each unique combination of the cluster variables. |
stat |
a character string indicating the descriptive statistic(s) to be returned for each
cluster. See the documentation for |
subset |
a logical vector indicating a subset to be used for all descriptive statistics. |
x |
a numeric vector to be used as regression predictor for least squares slopes. |
... |
optional arguments specifying quantiles or thresholds for probabilities to be used
in calculating summary statistics. See arguments for |
version |
if |
This function uses tableStat()
to compute stratified statistics for each cluster. However, only single summary measures can be used in this function. See examples.
A vector is returned that contains the summary statistic relevant for the cluster to which each observation in y
belings. Although only the cases indicated by subset
are used to calculate the summary statistics, values are expanded out to cases beyond those indicated by subset
.
Scott S. Emerson, M.D., Ph.D., Andrew J. Spieker, Brian D. Williamson, Travis Y. Hee Wai, and Solomon Lim
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # Load required libraries
library(survival)
# Reading in a dataset
audio <- read.csv("http://www.emersonstatistics.com/datasets/audio.csv",header=TRUE)
# Generating counts for each subject
counts <- clusterStats (audio$R4000, audio$Subject, "count")
table(counts,strata=audio$Dose)
# Generating average R4000 for each subject
mR4000 <- clusterStats (audio$R4000, audio$Subject, "mean")
descrip(mR4000,strata=audio$Dose)
# Generating average R4000 for each subject after visit 0
mtxR4000 <- clusterStats (audio$R4000, audio$Subject, "mean", subset=audio$Visit>0)
descrip(mtxR4000,strata=audio$Dose)
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