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 exampledata(SSTlonlatshort)data(SSTdatashort)cancor_df <- cancor_eof(x = SSTlonlatshort, lag =7, n_eof =8, values_df = SSTdatashort)autoplot(cancor_df)# Stars examplelibrary(dplyr)library(stars)# Create a stars object from a data frameprecip_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)