canonical_correlation function

Computes transformed variables from Canonical Correlation Analysis using a dataframe or a stars object

Computes Canonical Correlation Analysis (CCA) using 2 datasets. The autoplot function plots the output.

canonical_correlation(x1, x2, ...)

## S3 method for class 'data.frame'
canonical_correlation(x1, x2, ...)

## S3 method for class 'stars'
canonical_correlation(x1, x2, ...)

## S3 method for class 'cancor'
autoplot(object, xlab = "Time", ...)

Arguments

• x1: The first dataframe or stars object.
• x2: The second dataframe or stars objext. The dimensions of both datasets need to be the same.
• ...: Other arguments currently ignored.
• object: For autoplot: the output of the function `cannonical_correlation'.
• xlab: For autoplot: the xlabel to appear on CCA plot.

Returns

A canonical correlation object.

Examples

# Dataframe example
df1 <- SSTdatashort[1:100, ]
df2 <- SSTdatashort[401:500, ]
ccor <- canonical_correlation(df1, df2)
autoplot(ccor)

# stars example
library(stars)
tif = system.file("tif/olinda_dem_utm25s.tif", package = "stars")
x <- read_stars(tif)
x1 <- x[[1]][1:50, 1:50]
x2 <- x[[1]][51:100, 1:50]
stx1 <- st_as_stars(x1)
stx2 <- st_as_stars(x2)
canonical_correlation(stx1, stx2)