make_fake_trial_ds | R Documentation |
make_fake_trial_ds() is a Make function that creates a new R object. Specifically, this function implements an algorithm to make fake trial dataset. The function returns Updated dataset (a tibble).
make_fake_trial_ds(
ds_tb,
id_var_nm_1L_chr = "fkClientID",
round_var_nm_1L_chr = "round",
round_lvls_chr = c("Baseline", "Follow-up"),
match_on_vars_chr,
cmprsn_var_nm_1L_chr = "study_arm_chr",
cmprsn_groups_chr = c("Intervention", "Control"),
fns_ls,
var_nms_chr,
abs_mean_diff_dbl,
diff_sd_dbl,
multiplier_dbl,
min_dbl,
max_dbl,
integer_lgl,
match_idx_var_nm_1L_chr = "match_idx_int"
)
ds_tb |
Dataset (a tibble) |
id_var_nm_1L_chr |
Identity variable name (a character vector of length one), Default: 'fkClientID' |
round_var_nm_1L_chr |
Round variable name (a character vector of length one), Default: 'round' |
round_lvls_chr |
Round levels (a character vector), Default: c("Baseline", "Follow-up") |
match_on_vars_chr |
Match on variables (a character vector) |
cmprsn_var_nm_1L_chr |
Comparison variable name (a character vector of length one), Default: 'study_arm_chr' |
cmprsn_groups_chr |
Comparison groups (a character vector), Default: c("Intervention", "Control") |
fns_ls |
Functions (a list) |
var_nms_chr |
Variable names (a character vector) |
abs_mean_diff_dbl |
Absolute mean difference (a double vector) |
diff_sd_dbl |
Difference standard deviation (a double vector) |
multiplier_dbl |
Multiplier (a double vector) |
min_dbl |
Minimum (a double vector) |
max_dbl |
Maximum (a double vector) |
integer_lgl |
Integer (a logical vector) |
match_idx_var_nm_1L_chr |
Match index variable name (a character vector of length one), Default: 'match_idx_int' |
Updated dataset (a tibble)
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