inst/extdata/modeling/diagnostics.md

title: Xanomeline Model Diagnostic Plots author: Tim Bergsma date: "06 September, 2022" output: powerpoint_presentation: toc: FALSE keep_md: TRUE df_print: kable slide_level: 2 reference_doc: template.pptx editor_options: chunk_output_type: console

Data Diagnostics

Observations vs Individual Predictions by Arm, per Visit

DV-IPRED-ACTARM-VISIT.png

Observations vs Individual Predictions by Arm and Visit, and for scales = 'free'

DV-IPRED-ACTARM-VISIT-GRID.png

Observations vs Individual Predictions

x %>% isoplot(DV, PRED)

Observations vs Individual Predictions, With/without Grids

x %>% isoplot(DV, PRED)

Observations vs Population Predictions, Log-log

x %>% isoplot(DV, PRED, trans = 'log10')

Observations vs Population and Individual Predictions

x %>% isopair(DV, PRED, DV, IPRED)

Observations vs Individual Predictions, Untransformed and Log-log

x %>% isopair(DV, IPRED, DV, IPRED, trans = c('identity','log10'))

Conditional Weighted Residuals vs Time

x %>% trendplot(CWRES, TIME) + symmetric()

Conditional Weighted Residuals vs Time, Untransformed and Log-log

x %>% trendpair(CWRES, TIME, CWRES, TIME, trans2 = c('identity', 'log10'), symmetric = TRUE)

Conditional Weighted Residuals vs Time, Full Grid vs Horizontal Grid

Conditional Weighted Residuals vs Time, Various Horizontal Reference Lines

Individual Plots

Individual Plots -- Detailed Panel Strip

Individual Plots -- Unscaled Panel Strip

Individual Plots -- Scaled Panel Strip

p + scale_striptext()



bergsmat/yamlet documentation built on Feb. 18, 2024, 5:50 a.m.