Adverse event table
Usage
t_ae_pt_soc_slide(
adsl,
adae,
arm,
cutoff = NA,
prune_by_total = FALSE,
split_by_study = FALSE,
side_by_side = NULL
)Arguments
- adsl
ADSL data set, dataframe
- adae
ADAE data set, dataframe
- arm
Arm variable, character
- cutoff
Cutoff threshold
- prune_by_total
Prune according total column
- split_by_study
Split by study, building structured header for tables
- side_by_side
"GlobalAsia" or "GlobalAsiaChina" to define the side by side requirement
Examples
library(dplyr)
# Example 1
adsl <- eg_adsl %>%
dplyr::mutate(TRT01A = factor(TRT01A, levels = c("A: Drug X", "B: Placebo")))
adae <- eg_adae %>%
dplyr::mutate(
TRT01A = factor(TRT01A, levels = c("A: Drug X", "B: Placebo")),
ATOXGR = AETOXGR
)
out <- t_ae_pt_soc_slide(adsl, adae, "TRT01A", 2)
print(out)
#> Adverse Events table
#>
#> ———————————————————————————————————————————————————————————————————————
#> MedDRA System Organ Class
#> MedDRA Preferred Term N (%) A: Drug X B: Placebo All Patients
#> ———————————————————————————————————————————————————————————————————————
#> cl A.1
#> dcd A.1.1.1.1 45 (33.6%) 31 (23.1%) 128 (32.0%)
#> dcd A.1.1.1.2 41 (30.6%) 39 (29.1%) 122 (30.5%)
#> cl B.1
#> dcd B.1.1.1.1 38 (28.4%) 37 (27.6%) 111 (27.8%)
#> cl B.2
#> dcd B.2.2.3.1 38 (28.4%) 40 (29.9%) 123 (30.8%)
#> dcd B.2.1.2.1 39 (29.1%) 34 (25.4%) 119 (29.8%)
#> cl C.1
#> dcd C.1.1.1.3 36 (26.9%) 34 (25.4%) 106 (26.5%)
#> cl C.2
#> dcd C.2.1.2.1 28 (20.9%) 36 (26.9%) 112 (28.0%)
#> cl D.1
#> dcd D.1.1.1.1 42 (31.3%) 32 (23.9%) 120 (30.0%)
#> dcd D.1.1.4.2 38 (28.4%) 34 (25.4%) 112 (28.0%)
#> cl D.2
#> dcd D.2.1.5.3 37 (27.6%) 46 (34.3%) 133 (33.2%)
generate_slides(out, paste0(tempdir(), "/ae.pptx"))
#> [1] "Adverse Events table"
#> [1] "Adverse Events table (cont.)"
# Example 2, prune by total column
out2 <- t_ae_pt_soc_slide(adsl, adae, "TRT01A", 25, prune_by_total = TRUE)
print(out2)
#> Adverse Events table
#>
#> ———————————————————————————————————————————————————————————————————————
#> MedDRA System Organ Class
#> MedDRA Preferred Term N (%) A: Drug X B: Placebo All Patients
#> ———————————————————————————————————————————————————————————————————————
#> cl A.1
#> dcd A.1.1.1.1 45 (33.6%) 31 (23.1%) 128 (32.0%)
#> dcd A.1.1.1.2 41 (30.6%) 39 (29.1%) 122 (30.5%)
#> cl B.1
#> dcd B.1.1.1.1 38 (28.4%) 37 (27.6%) 111 (27.8%)
#> cl B.2
#> dcd B.2.2.3.1 38 (28.4%) 40 (29.9%) 123 (30.8%)
#> dcd B.2.1.2.1 39 (29.1%) 34 (25.4%) 119 (29.8%)
#> cl C.1
#> dcd C.1.1.1.3 36 (26.9%) 34 (25.4%) 106 (26.5%)
#> cl C.2
#> dcd C.2.1.2.1 28 (20.9%) 36 (26.9%) 112 (28.0%)
#> cl D.1
#> dcd D.1.1.1.1 42 (31.3%) 32 (23.9%) 120 (30.0%)
#> dcd D.1.1.4.2 38 (28.4%) 34 (25.4%) 112 (28.0%)
#> cl D.2
#> dcd D.2.1.5.3 37 (27.6%) 46 (34.3%) 133 (33.2%)
generate_slides(out2, paste0(tempdir(), "/ae2.pptx"))
#> [1] "Adverse Events table"
#> [1] "Adverse Events table (cont.)"