Data should be in the long format (each row is one
time point per subject).
base_swimmer_trt
base_swimmer_relapsedeath
base_swimmer_eventsupp
base_swimmer_eval
ID Patient ID
ID Patient ID
ID Patient ID
ID Patient ID
TYPCURE Type of cure
event Type of event
event Type of event
LAMREP Type of response
time Time from diagnosis
time Time from diagnosis
time Time from diagnosis
time Time from diagnosis
ID
TYPCURE
time
3
no treatment
0.0985626
3
induction
1.0184805
3
no treatment
1.8726899
3
consolidation
2.9568789
ID
event
time
6
Death
12.911704
10
Relapse
7.359343
10
Relapse
9.889117
10
Death
10.809035
ID
time
event
6
12.411704
Other event to represent
10
6.859343
Other event to represent
10
9.389117
Other event to represent
10
10.309035
Other event to represent
ID
LAMREP
time
3
CR
1.839836
3
CR
3.154004
4
CR
0.788501
4
CR
1.412731
swimmer_plot function
swimmer_plot( df, a data frame id = "id", column name for id end = "end", column name with the bar
lengths (or bar end positions if bars change colour) start = "start", column name with the bar start positions
(only required when there are gaps between sections of bars, or bars
which do not start at zero) col, color of the border
of the bars name_fill = NULL, a column name to map the
bar fill name_col = NULL, a column
name to map the bar colour name_alpha = NULL, a column name to map the bar
transparency increasing = TRUE, increasing
order (Default is TRUE) id_order = NULL, order of the
bars by id, can input a column name to sort by, or the ids in order stratify = FALSE, a list of column names to stratify by
base_size = 11, the base size for the plot, default is
11 identifiers = TRUE, binary to specify patient
identifiers are included in the y axis (default is TRUE) ... )
Contact
This document is a work of the statistics team in the Biostatistics and Medical Information Department at Saint-Louis Hospital in Paris (SBIM). Developed and updated by Noémie Bigot and Anouk Walter-Petrich noemie.bigot@aphp.fr; anouk.walter-petrich@u-paris.fr