emp_orth_fun | R Documentation |
Computes empirical orthogonal functions of the data. Function autoplot can plot the output.
emp_orth_fun(x, ...) ## S3 method for class 'data.frame' emp_orth_fun(x, values_df, ...) ## S3 method for class 'stars' emp_orth_fun(x, ...) ## S3 method for class 'emporthfun' autoplot( object, EOF_num = 1, palette = "Spectral", only_EOF = FALSE, only_TS = FALSE, ... )
x |
The dataframe or stars object. If it is a dataframe, then it should have the locations. |
... |
Other arguments currently ignored. |
values_df |
For dataframes: the dataframe of dimension |
object |
For autoplot: the output of the function ‘emp_orth_fun’. |
EOF_num |
For autoplot: the number of Empirical Orthogonal Functions (EOFs) to plot. |
palette |
The color palette. Default is |
only_EOF |
For autoplot: if |
only_TS |
For autoplot: if |
An emporthfun object with temporal PCs and spatial EOFs.
# dataframe example data(SSTlonlatshort) data(SSTdatashort) data(SSTlandmaskshort) delete_rows <- which(SSTlandmaskshort == 1) SSTdatashort <- SSTdatashort[-delete_rows, 1:396] emp1 <- emp_orth_fun(SSTlonlatshort[-delete_rows, ], SSTdatashort) autoplot(emp1, EOF_num = 1) # 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 <= "1992-02-05") precip <- precip_df[ ,c('lat', 'lon', 'date', 'z')] st_precip <- st_as_stars(precip, dims = c("lon", "lat", "date")) emp <- emp_orth_fun(st_precip) autoplot(emp, only_TS = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.