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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