Check_Trunc {Colossus} | R Documentation |
Check_Trunc
creates columns to use for truncation
Check_Trunc(df, ce, verbose = 0)
df |
a data.table containing the columns of interest |
ce |
columns to check for truncation, (t0, t1, event) |
verbose |
integer valued 0-4 controlling what information is printed to the terminal. Each level includes the lower levels. 0: silent, 1: errors printed, 2: warnings printed, 3: notes printed, 4: debug information printed. Errors are situations that stop the regression, warnings are situations that assume default values that the user might not have intended, notes provide information on regression progress, and debug prints out C++ progress and intermediate results. The default level is 2 and True/False is converted to 3/0. |
returns the updated data and time period columns
Other Data Cleaning Functions:
Check_Dupe_Columns()
,
Check_Verbose()
,
Correct_Formula_Order()
,
Date_Shift()
,
Def_Control()
,
Def_Control_Guess()
,
Def_model_control()
,
Def_modelform_fix()
,
Joint_Multiple_Events()
,
Replace_Missing()
,
Time_Since()
,
factorize()
,
factorize_par()
,
gen_time_dep()
,
interact_them()
library(data.table)
df <- data.table::data.table("UserID"=c(112, 114, 213, 214, 115, 116, 117),
"Starting_Age"=c(18, 20, 18, 19, 21, 20, 18),
"Ending_Age"=c(30, 45, 57, 47, 36, 60, 55),
"Cancer_Status"=c(0, 0, 1, 0, 1, 0, 0))
# For the interval case
time1 <- "Starting_Age"
time2 <- "Ending_Age"
ce <- c("%trunc%","Ending_Age")
val <- Check_Trunc(df, ce)
df <- val$df
ce <- val$ce