uc_data_transform: Transform long formatted time-to-event data into a data list
In SurvMI: Multiple Imputation Method in Survival Analysis

Description Usage Arguments Value Author(s) Examples

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.

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

`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.

`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

Yiming Chen

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")