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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 by_vars argument are expected to be in the dataset.

dataset_merge

Dataset to transpose and merge

The variables specified by the by_vars, key_var and value_var parameters are expected

by_vars

Grouping variables

Keys used to merge dataset_merge with dataset.

id_vars

ID variables

Variables (excluding by_vars) that uniquely identify each observation in dataset_merge.

Permitted Values: list of variables created by exprs() e.g. exprs(USUBJID, VISIT)

key_var

The variable of dataset_merge containing the names of the transposed variables

value_var

The variable of dataset_merge containing the values of the transposed variables

filter

Expression used to restrict the records of dataset_merge prior to transposing

relationship

Expected merge-relationship between the by_vars variable(s) in dataset and dataset_merge (after transposition)

This argument is passed to the dplyr::left_join() function. See https://dplyr.tidyverse.org/reference/mutate-joins.html#arguments for more details.

Permitted Values for relationship: "one-to-one", "one-to-many", "many-to-one", "many-to-many", NULL.

Value

The input dataset with transposed variables from dataset_merge added

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.

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"))
#> # A tibble: 5 × 6
#>   USUBJID      CMDECOD        CMATC1CD CMATC2CD CMATC3CD CMATC4CD
#>   <chr>        <chr>          <chr>    <chr>    <chr>    <chr>   
#> 1 BP40257-1001 PARACETAMOL    N        N02      N02B     N02BE   
#> 2 BP40257-1001 SOLUMEDROL     D        D10      D10A     D10AA   
#> 3 BP40257-1001 SOLUMEDROL     D        D07      D07A     D07AA   
#> 4 BP40257-1001 SOLUMEDROL     H        H02      H02A     H02AB   
#> 5 BP40257-1002 SPIRONOLACTONE C        C03      C03D     C03DA