Nothing
Code
edc_population_plot(l)$data %>% summary()
Output
SUBJID name value group
Min. : 1.0 Evaluable population:179 Yes:885 (0,50] :250
1st Qu.: 45.0 mITT population :179 No : 10 (50,100] :245
Median : 91.0 Safety population :179 (100,150]:250
Mean : 90.7 ITT population :179 (150,200]:150
3rd Qu.:136.0 Total population :179
Max. :180.0
Code
edc_population_plot(l[-1], ref = pop_total)$data %>% summary()
Output
SUBJID name value group
Min. : 1.0 Evaluable population:179 Yes:706 (0,50] :200
1st Qu.: 45.0 mITT population :179 No : 10 (50,100] :196
Median : 91.0 Safety population :179 (100,150]:200
Mean : 90.7 ITT population :179 (150,200]:120
3rd Qu.:136.0
Max. :180.0
Code
edc_population_plot(l, ref = 1:200)$data %>% summary()
Output
SUBJID name value group
Min. : 1.00 Evaluable population:200 Yes:885 (0,50] :250
1st Qu.: 50.75 mITT population :200 No :115 (50,100] :250
Median :100.50 Safety population :200 (100,150]:250
Mean :100.50 ITT population :200 (150,200]:250
3rd Qu.:150.25 Total population :200
Max. :200.00
Code
edc_population_plot(l, id_per_row = 60)$data %>% summary()
Output
SUBJID name value group
Min. : 1.0 Evaluable population:179 Yes:885 (0,60] :295
1st Qu.: 45.0 mITT population :179 No : 10 (60,120] :300
Median : 91.0 Safety population :179 (120,180]:300
Mean : 90.7 ITT population :179
3rd Qu.:136.0 Total population :179
Max. :180.0
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