cancor_eof function

Performs CCA using Empirical Orthogonal Functions (EOFs) from a lagged dataset

Performs CCA using Empirical Orthogonal Functions (EOFs) from a lagged dataset

Performs Canonical Correlation Analysis (CCA) using Empirical Orthogonal Function analysis using in a dataframe or a stars object. The autoplot function can plot the outputs.

The variations are * cancor_eof.data.frame() if the input is a dataframe * cancor_eof.stars() if the input is a stars object * autoplot.cancoreof() to plot the outputs.

cancor_eof(x, lag, n_eof, ...) ## S3 method for class 'data.frame' cancor_eof(x, lag = 7, n_eof = 10, values_df, ...) ## S3 method for class 'stars' cancor_eof(x, lag = 7, n_eof = 10, ...) ## S3 method for class 'cancoreof' autoplot( object, line_plot = TRUE, space_plot = TRUE, palette = "Spectral", xlab = "Time", ... )

Arguments

  • x: The dataframe or stars object. If it is a dataframe, then it should have the locations.
  • lag: Specifies the lag to be used.
  • n_eof: The number of EOFs to be used.
  • ...: Other arguments currently ignored.
  • values_df: For dataframes: the dataframe of dimension length(times) x length(locations) containing the quantity of interest.
  • object: autoplot parameter: the output of the function `cancor_eof'.
  • line_plot: autoplot parameter: if set to TRUE, then the line plot is included.
  • space_plot: autoplot parameter: if set to TRUE, the space splot is included.
  • palette: autoplot parameter: the color palette to use for plotting.
  • xlab: autoplot parameter:: he label on the x-axis for the line plot.

Returns

A cancoreof object with CCA output, EOF output, original data and cancor object from stats.

Examples

# Dataframe example data(SSTlonlatshort) data(SSTdatashort) cancor_df <- cancor_eof(x = SSTlonlatshort, lag = 7, n_eof = 8, values_df = SSTdatashort) autoplot(cancor_df) # Stars example library(dplyr) library(stars) # Create a stars object from a data frame precip_df <- NOAA_df_1990[NOAA_df_1990$proc == 'Precip', ] %>% filter(date >= "1992-02-01" & date <= "1992-02-28") precip <- precip_df[ ,c('lat', 'lon', 'date', 'z')] st_precip <- st_as_stars(precip, dims = c("lon", "lat", "date")) cancor_st <- cancor_eof(st_precip) autoplot(cancor_st, line_plot = TRUE, space_plot = FALSE)