Applies time duration truncation limits to create columns for Cox model

Check_Trunc creates columns to use for truncation

Usage

Check_Trunc(df, ce, verbose = 0)

Arguments

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.

Value

returns the updated data and time period columns

See also

Other Data Cleaning Functions: Check_Dupe_Columns(), Check_Verbose(), Convert_Model_Eq(), Correct_Formula_Order(), Date_Shift(), Def_Control(), Def_Control_Guess(), Def_model_control(), Def_modelform_fix(), Event_Count_Gen(), Event_Time_Gen(), Joint_Multiple_Events(), Replace_Missing(), Time_Since(), factorize(), factorize_par(), gen_time_dep(), interact_them()

Examples

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