SurvMI (version 0.1.0)

uc_data_transform: Transform long formatted time-to-event data into a data list

Description

This function transforms data from long format (one record per event) to a datalist with length as unique subject number. The transformation is required before fitting other models from the package.

Usage

uc_data_transform(data,var_list,var_list_new,time,prob)

Arguments

data

The dataset in long format with a row for each potential event. For ceonsoring record, the event prob should be 0. It should include id, time and prob variables at a minimum. If any covariates are included in the call to the function, then these variables should also be included. A censoring record is required for each subject. Categorical variables need to be encoded as factor varaible before transformationif they are expected to be in the Cox model.

var_list

The list of identification variables, such as: c("id_long","trt_long").

time

The time variable need to be transofirmed, e.g. time_long.

prob

The prob variable need to be transformed, e.g. prob_long.

var_list_new

The character vector contains the new names for the id variables defined in the var_list, if missing, previous variable names would be used.

Value

time

The list of all potential event time

prob

The list of all potential event probabilities

weights

The list of all potential event weights

e

The list of individual potential event count

s

The list of all survival probabilities

data_uc

The dataset contains unique information of each subject

data_long

The dataset contains the original data in long format

Examples

# NOT RUN {
df_x<-data_sim(n=1000,true_hr=0.8,haz_c=0.5/365)
df_x$f.trt<-as.factor(df_x$trt_long)
data_intrim<-uc_data_transform(data=df_x,
                               var_list=c("id_long","f.trt"),
                               var_list_new=c("id","trt"),
                               time="time_long",
                               prob="prob_long")

# }