derive_vars_transposed {admiral} | R Documentation |
Derive Variables by Transposing and Merging a Second Dataset
Description
Adds variables from a vertical dataset after transposing it into a wide one.
Usage
derive_vars_transposed(
dataset,
dataset_merge,
by_vars,
id_vars = NULL,
key_var,
value_var,
filter = NULL,
relationship = NULL
)
Arguments
dataset |
Input dataset The variables specified by the |
dataset_merge |
Dataset to transpose and merge The variables specified by the |
by_vars |
Grouping variables Keys used to merge |
id_vars |
ID variables Variables (excluding by_vars) that uniquely identify each observation in Permitted Values: list of variables created by |
key_var |
The variable of |
value_var |
The variable of |
filter |
Expression used to restrict the records of |
relationship |
Expected merge-relationship between the This argument is passed to the Permitted Values for |
Details
After filtering dataset_merge
based upon the condition provided in filter
, this
dataset is transposed and subsequently merged onto dataset
using by_vars
as
keys.
Value
The input dataset with transposed variables from dataset_merge
added
See Also
General Derivation Functions for all ADaMs that returns variable appended to dataset:
derive_var_extreme_flag()
,
derive_var_joined_exist_flag()
,
derive_var_merged_ef_msrc()
,
derive_var_merged_exist_flag()
,
derive_var_merged_summary()
,
derive_var_obs_number()
,
derive_var_relative_flag()
,
derive_vars_computed()
,
derive_vars_joined()
,
derive_vars_merged()
,
derive_vars_merged_lookup()
Examples
library(tibble)
library(dplyr, warn.conflicts = FALSE)
cm <- tribble(
~USUBJID, ~CMGRPID, ~CMREFID, ~CMDECOD,
"BP40257-1001", "14", "1192056", "PARACETAMOL",
"BP40257-1001", "18", "2007001", "SOLUMEDROL",
"BP40257-1002", "19", "2791596", "SPIRONOLACTONE"
)
facm <- tribble(
~USUBJID, ~FAGRPID, ~FAREFID, ~FATESTCD, ~FASTRESC,
"BP40257-1001", "1", "1192056", "CMATC1CD", "N",
"BP40257-1001", "1", "1192056", "CMATC2CD", "N02",
"BP40257-1001", "1", "1192056", "CMATC3CD", "N02B",
"BP40257-1001", "1", "1192056", "CMATC4CD", "N02BE",
"BP40257-1001", "1", "2007001", "CMATC1CD", "D",
"BP40257-1001", "1", "2007001", "CMATC2CD", "D10",
"BP40257-1001", "1", "2007001", "CMATC3CD", "D10A",
"BP40257-1001", "1", "2007001", "CMATC4CD", "D10AA",
"BP40257-1001", "2", "2007001", "CMATC1CD", "D",
"BP40257-1001", "2", "2007001", "CMATC2CD", "D07",
"BP40257-1001", "2", "2007001", "CMATC3CD", "D07A",
"BP40257-1001", "2", "2007001", "CMATC4CD", "D07AA",
"BP40257-1001", "3", "2007001", "CMATC1CD", "H",
"BP40257-1001", "3", "2007001", "CMATC2CD", "H02",
"BP40257-1001", "3", "2007001", "CMATC3CD", "H02A",
"BP40257-1001", "3", "2007001", "CMATC4CD", "H02AB",
"BP40257-1002", "1", "2791596", "CMATC1CD", "C",
"BP40257-1002", "1", "2791596", "CMATC2CD", "C03",
"BP40257-1002", "1", "2791596", "CMATC3CD", "C03D",
"BP40257-1002", "1", "2791596", "CMATC4CD", "C03DA"
)
cm %>%
derive_vars_transposed(
facm,
by_vars = exprs(USUBJID, CMREFID = FAREFID),
id_vars = exprs(FAGRPID),
key_var = FATESTCD,
value_var = FASTRESC
) %>%
select(USUBJID, CMDECOD, starts_with("CMATC"))