View source: R/filter_relative.R
filter_relative | R Documentation |
Filters the observations before or after the observation where a specified condition is fulfilled for each by group. For example, the function could be called to select for each subject all observations before the first disease progression.
filter_relative(
dataset,
by_vars,
order,
condition,
mode,
selection,
inclusive,
keep_no_ref_groups = TRUE,
check_type = "warning"
)
dataset |
Input dataset The variables specified by the
|
by_vars |
Grouping variables
|
order |
Sort order Within each by group the observations are ordered by the specified order. For handling of
|
condition |
Condition for Reference Observation The specified condition determines the reference observation. The output
dataset contains all observations before or after (
|
mode |
Selection mode (first or last) If
|
selection |
Select observations before or after the reference observation?
|
inclusive |
Include the reference observation?
|
keep_no_ref_groups |
Should by groups without reference observation be kept?
|
check_type |
Check uniqueness? If
|
For each by group ( by_vars
parameter) the observations before or
after (selection
parameter) the observations where the condition
(condition
parameter) is fulfilled the first or last time (order
parameter and mode
parameter) is included in the output dataset.
A dataset containing for each by group the observations before or after the observation where the condition was fulfilled the first or last time
Utilities for Filtering Observations:
count_vals()
,
filter_exist()
,
filter_extreme()
,
filter_joined()
,
filter_not_exist()
,
max_cond()
,
min_cond()
library(tibble)
response <- tribble(
~USUBJID, ~AVISITN, ~AVALC,
"1", 1, "PR",
"1", 2, "CR",
"1", 3, "CR",
"1", 4, "SD",
"1", 5, "NE",
"2", 1, "SD",
"2", 2, "PD",
"2", 3, "PD",
"3", 1, "SD",
"4", 1, "SD",
"4", 2, "PR",
"4", 3, "PD",
"4", 4, "SD",
"4", 5, "PR"
)
# Select observations up to first PD for each patient
response %>%
filter_relative(
by_vars = exprs(USUBJID),
order = exprs(AVISITN),
condition = AVALC == "PD",
mode = "first",
selection = "before",
inclusive = TRUE
)
# Select observations after last CR, PR, or SD for each patient
response %>%
filter_relative(
by_vars = exprs(USUBJID),
order = exprs(AVISITN),
condition = AVALC %in% c("CR", "PR", "SD"),
mode = "last",
selection = "after",
inclusive = FALSE
)
# Select observations from first response to first PD
response %>%
filter_relative(
by_vars = exprs(USUBJID),
order = exprs(AVISITN),
condition = AVALC %in% c("CR", "PR"),
mode = "first",
selection = "after",
inclusive = TRUE,
keep_no_ref_groups = FALSE
) %>%
filter_relative(
by_vars = exprs(USUBJID),
order = exprs(AVISITN),
condition = AVALC == "PD",
mode = "first",
selection = "before",
inclusive = TRUE
)
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