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Derive Variables by Transposing and Merging a Second Dataset

Source: R/derive_vars_transposed.R
derive_vars_transposed.Rd

Adds variables from a vertical dataset after transposing it into a wide one.

Usage

derive_vars_transposed(
  dataset,
  dataset_merge,
  by_vars,
  key_var,
  value_var,
  filter = NULL
)

Arguments

dataset

Input dataset

The variables specified by the by_vars parameter are required

dataset_merge

Dataset to transpose and merge

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

by_vars

Keys used to merge dataset_merge with dataset

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

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.

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_last_dose_amt(), derive_var_last_dose_date(), derive_var_last_dose_grp(), derive_var_merged_cat(), derive_var_merged_character(), derive_var_merged_exist_flag(), derive_var_merged_summary(), derive_var_obs_number(), derive_var_relative_flag(), derive_vars_joined(), derive_vars_last_dose(), derive_vars_merged_lookup(), derive_vars_merged(), get_summary_records()

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),
    key_var = FATESTCD,
    value_var = FASTRESC
  ) %>%
  select(USUBJID, CMDECOD, starts_with("CMATC"))
#> # A tibble: 5 x 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