R/renumber_time_id_tt.R
renumber_time_id_tt.Rd
Renumber the time ID per case (i.e. Tumor sequence) - tidytable version
renumber_time_id_tt(
df,
new_time_id_var,
dattype = NULL,
case_id_var = NULL,
time_id_var = NULL,
diagdat_var = NULL,
timevar_max = Inf
)
dataframe
Name of the newly calculated variable for time_id. Required.
can be "zfkd" or "seer" or NULL. Will set default variable names if dattype is "seer" or "zfkd". Default is NULL.
String with name of ID variable indicating same patient.
E.g. case_id_var="PUBCSNUM"
for SEER data.
String with name of variable that indicates diagnosis per patient.
E.g. time_id_var="SEQ_NUM"
for SEER data.
String with name of variable that indicates date of diagnosis per event.
E.g. diagdat_var="t_datediag"
for SEER data.
Numeric; default Inf. Maximum number of cases per id. All tumors > timevar_max will be deleted.
df
data(us_second_cancer)
us_second_cancer %>%
#only select first 10000 rows so example runs faster
dplyr::slice(1:10000) %>%
msSPChelpR::renumber_time_id_tt(new_time_id_var = "t_tumid",
dattype = "seer",
case_id_var = "fake_id")
#> # A tidytable: 10,000 × 17
#> fake_id SEQ_NUM registry sex race datebirth t_datediag t_site_icd t_dco
#> <chr> <int> <chr> <chr> <chr> <date> <date> <chr> <chr>
#> 1 100004 1 SEER Reg … Male White 1926-01-01 1992-07-15 C50 hist…
#> 2 100004 2 SEER Reg … Male White 1926-01-01 2004-01-15 C54 hist…
#> 3 100004 3 SEER Reg … Male White 1926-01-01 2006-06-15 C34 hist…
#> 4 100004 4 SEER Reg … Male White 1926-01-01 2018-06-15 C14 DCO …
#> 5 100034 1 SEER Reg … Male White 1979-01-01 2000-06-15 C50 hist…
#> 6 100037 1 SEER Reg … Fema… White 1938-01-01 1996-01-15 C54 hist…
#> 7 100038 1 SEER Reg … Male White 1989-01-01 1991-04-15 C50 hist…
#> 8 100038 2 SEER Reg … Male White 1989-01-01 2000-03-15 C80 hist…
#> 9 100039 1 SEER Reg … Fema… White 1946-01-01 2003-08-15 C50 hist…
#> 10 100039 2 SEER Reg … Fema… White 1946-01-01 2011-04-15 C34 hist…
#> # ℹ 9,990 more rows
#> # ℹ 8 more variables: t_hist <int>, fc_age <int>, datedeath <date>,
#> # p_alive <chr>, p_dodmin <date>, fc_agegroup <chr>, t_yeardiag <chr>,
#> # t_tumid <int>