library(pmplots)
library(dplyr)
data <- pmplots_data_id()
A good workflow is to create a character vector of your etas and their names.
etas <- c("ETA1//ETA-CL", "ETA2//ETA-VC", "ETA3//ETA-KA")
etas
## [1] "ETA1//ETA-CL" "ETA2//ETA-VC" "ETA3//ETA-KA"
Note that very frequently, ETA plots come back as a list of plots,
one for each ETA. You can combine them together into a single plot using
pm_grid()
or patchwork::wrap_plots()
.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
eta_pairs(data, etas)
## Loading required namespace: GGally
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'