View source: R/reshape_long_tt.R
reshape_long_tt | R Documentation |
Reshape dataset to wide format - tidytable version
reshape_long_tt(wide_df, case_id_var, time_id_var, datsize = Inf)
wide_df |
dataframe |
case_id_var |
String with name of ID variable indicating same patient.
E.g. |
time_id_var |
String with name of variable that indicates diagnosis per patient.
E.g. |
datsize |
Number of rows to be taken from df. This parameter is mainly for testing. Default is Inf so that df is fully processed. |
long_df
data(us_second_cancer) #prep step - reshape wide a sample of 10000 rows from us_second_cancer usdata_wide_sample <- msSPChelpR::reshape_wide(us_second_cancer, case_id_var = "fake_id", time_id_var = "SEQ_NUM", timevar_max = 2, datsize = 10000) #now we can reshape long again msSPChelpR::reshape_long_tt(usdata_wide_sample, case_id_var = "fake_id", time_id_var = "SEQ_NUM")
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