summary.FCMres: Summary method for FCMres

In geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

Summary method for FCMres

Description

Calculate some descriptive statistics of each group of a FCMres object

Usage

## S3 method for class 'FCMres'
summary(object, data = NULL, weighted = TRUE, dec = 3, silent = TRUE, ...)

Arguments

object	A FCMres object, typically obtained from functions CMeans, GCMeans, SFCMeans, SGFCMeans
data	A dataframe to use for the summary statistics instead of obj$data
weighted	A boolean indicating if the summary statistics must use the membership matrix columns as weights (TRUE) or simply assign each observation to its most likely cluster and compute the statistics on each subset (FALSE)
dec	An integer indicating the number of digits to keep when rounding (default is 3)
silent	A boolean indicating if the results must be printed or silently returned
...	Not used

Value

A list of length k (the number of group). Each element of the list is a dataframe with summary statistics for the variables of data for each group

Examples

data(LyonIris)
AnalysisFields <-c("Lden","NO2","PM25","VegHautPrt","Pct0_14","Pct_65","Pct_Img",
"TxChom1564","Pct_brevet","NivVieMed")
dataset <- sf::st_drop_geometry(LyonIris[AnalysisFields])
queen <- spdep::poly2nb(LyonIris,queen=TRUE)
Wqueen <- spdep::nb2listw(queen,style="W")
result <- SFCMeans(dataset, Wqueen,k = 5, m = 1.5, alpha = 1.5, standardize = TRUE)
summary(result)

geocmeans documentation built on Sept. 12, 2023, 9:06 a.m.