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Created August 25, 2022 03:26
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dat-missing.md 
library(tidyverse)
library(naniar)

dat <- tibble(
  x = c(".", 123, 321, "."),
  y = rnorm(4),
  z = c(43, 42, ".", "."),
  misc = c("full.name", "last.name", "frank", "ocean"),
  misc2 = c("full.", ".name", "frank", "ocean")
)

na_if(dat, ".")
#> # A tibble: 4 × 5
#>   x          y z     misc      misc2
#>   <chr>  <dbl> <chr> <chr>     <chr>
#> 1 <NA>   2.59  43    full.name full.
#> 2 123    1.09  42    last.name .name
#> 3 321   -0.741 <NA>  frank     frank
#> 4 <NA>  -0.857 <NA>  ocean     ocean

naniar::replace_with_na(
  data = dat,
  replace = list(
    x = ".",
    z = "."
  )
)
#> # A tibble: 4 × 5
#>   x          y z     misc      misc2
#>   <chr>  <dbl> <chr> <chr>     <chr>
#> 1 <NA>   2.59  43    full.name full.
#> 2 123    1.09  42    last.name .name
#> 3 321   -0.741 <NA>  frank     frank
#> 4 <NA>  -0.857 <NA>  ocean     ocean

naniar::replace_with_na_at(
  data = dat,
  .vars = c("x", "z"),
  condition = ~.x == "."
)
#> # A tibble: 4 × 5
#>   x          y z     misc      misc2
#>   <chr>  <dbl> <chr> <chr>     <chr>
#> 1 <NA>   2.59  43    full.name full.
#> 2 123    1.09  42    last.name .name
#> 3 321   -0.741 <NA>  frank     frank
#> 4 <NA>  -0.857 <NA>  ocean     ocean

Created on 2022-08-25 by the reprex package (v2.0.1)

Session info 
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.2.0 (2022-04-22)
#>  os       macOS Monterey 12.3.1
#>  system   aarch64, darwin20
#>  ui       X11
#>  language (EN)
#>  collate  en_AU.UTF-8
#>  ctype    en_AU.UTF-8
#>  tz       Australia/Perth
#>  date     2022-08-25
#>  pandoc   2.18 @ /Applications/RStudio.app/Contents/MacOS/quarto/bin/tools/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package       * version    date (UTC) lib source
#>  assertthat      0.2.1      2019-03-21 [1] CRAN (R 4.2.0)
#>  backports       1.4.1      2021-12-13 [1] CRAN (R 4.2.0)
#>  broom           1.0.0      2022-07-01 [1] CRAN (R 4.2.0)
#>  cellranger      1.1.0      2016-07-27 [1] CRAN (R 4.2.0)
#>  cli             3.3.0.9000 2022-06-15 [1] Github (r-lib/cli@31a5db5)
#>  colorspace      2.0-3      2022-02-21 [1] CRAN (R 4.2.0)
#>  crayon          1.5.1      2022-03-26 [1] CRAN (R 4.2.0)
#>  DBI             1.1.3      2022-06-18 [1] CRAN (R 4.2.0)
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#>  evaluate        0.16       2022-08-09 [1] CRAN (R 4.2.0)
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#>  gtable          0.3.0      2019-03-25 [1] CRAN (R 4.2.0)
#>  haven           2.5.0      2022-04-15 [1] CRAN (R 4.2.0)
#>  highr           0.9        2021-04-16 [1] CRAN (R 4.2.0)
#>  hms             1.1.1      2021-09-26 [1] CRAN (R 4.2.0)
#>  htmltools       0.5.3      2022-07-18 [1] CRAN (R 4.2.0)
#>  httr            1.4.3      2022-05-04 [1] CRAN (R 4.2.0)
#>  jsonlite        1.8.0      2022-02-22 [1] CRAN (R 4.2.0)
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#>  lifecycle       1.0.1      2021-09-24 [1] CRAN (R 4.2.0)
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#>  magrittr        2.0.3      2022-03-30 [1] CRAN (R 4.2.0)
#>  modelr          0.1.8      2020-05-19 [1] CRAN (R 4.2.0)
#>  munsell         0.5.0      2018-06-12 [1] CRAN (R 4.2.0)
#>  naniar        * 0.6.1      2021-05-14 [1] CRAN (R 4.2.0)
#>  pillar          1.8.0      2022-07-18 [1] CRAN (R 4.2.0)
#>  pkgconfig       2.0.3      2019-09-22 [1] CRAN (R 4.2.0)
#>  purrr         * 0.3.4      2020-04-17 [1] CRAN (R 4.2.0)
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#>  R.oo            1.25.0     2022-06-12 [1] CRAN (R 4.2.0)
#>  R.utils         2.12.0     2022-06-28 [1] CRAN (R 4.2.0)
#>  R6              2.5.1      2021-08-19 [1] CRAN (R 4.2.0)
#>  readr         * 2.1.2      2022-01-30 [1] CRAN (R 4.2.0)
#>  readxl          1.4.0      2022-03-28 [1] CRAN (R 4.2.0)
#>  reprex          2.0.1      2021-08-05 [1] CRAN (R 4.2.0)
#>  rlang           1.0.4      2022-07-12 [1] CRAN (R 4.2.0)
#>  rmarkdown       2.14       2022-04-25 [1] CRAN (R 4.2.0)
#>  rstudioapi      0.13       2020-11-12 [1] CRAN (R 4.2.0)
#>  rvest           1.0.2      2021-10-16 [1] CRAN (R 4.2.0)
#>  scales          1.2.0      2022-04-13 [1] CRAN (R 4.2.0)
#>  sessioninfo     1.2.2      2021-12-06 [1] CRAN (R 4.2.0)
#>  stringi         1.7.8      2022-07-11 [1] CRAN (R 4.2.0)
#>  stringr       * 1.4.0      2019-02-10 [1] CRAN (R 4.2.0)
#>  styler          1.7.0      2022-03-13 [1] CRAN (R 4.2.0)
#>  tibble        * 3.1.8      2022-07-22 [1] CRAN (R 4.2.0)
#>  tidyr         * 1.2.0      2022-02-01 [1] CRAN (R 4.2.0)
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#> 
#>  [1] /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library
#> 
#> ──────────────────────────────────────────────────────────────────────────────
@njtierney
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also how to read in values as missing:

library(readxl)

read_excel(
  path = "dot-missing/excel-missing.xlsx",
  na = "."
  )

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