pca1: Data: principal component analysis model for period of record

In troyhill/TTFF: A Comparison of Multiple Versions of the Tamiami Trail Flow Formula

Description

A list with 5 elements.

Usage

pca1

Format

results of a call to FactoMineR::PCA():

eig

eigenvalues for the PCA

var

variable names and

ind

lagged flow data

svd

the response variable: the sum of observed flows across Tamiami Trail

call

Examples

summary(pca1)

## Not run: 
### code used to generate object 
colsToUse <- 2:55
pca.dat   <- por

pca1 <- FactoMineR::PCA(pca.dat[, colsToUse],  ncp = 4, scale.unit = TRUE)
# save("pca1", file =  paste0(here(), "/data/pca1.RData"))


## End(Not run)

troyhill/TTFF documentation built on Aug. 9, 2021, 6:35 p.m.