NPDE Plots

Kyle Baron

2024-05-22

Set up

library(pmplots)
library(dplyr)

data <- pmplots_data_obs()

NPDE versus time

npde_time(data)

## `geom_smooth()` using formula = 'y ~ x'

npde_tad(data)

## `geom_smooth()` using formula = 'y ~ x'

NPDE versus PRED

npde_pred(data)

## `geom_smooth()` using formula = 'y ~ x'

NPDE histogram

npde_hist(data)

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

NPDE QQ plot

npde_q(data)

NPDE versus categorical variable

npde_cat(data, x = "STUDYc")

NPDE versus continuous variables

npde_cont(data, x= "WT//Weight (kg)")

## `geom_smooth()` using formula = 'y ~ x'