vis_miss % is NA when the percentage is very small #71
Comments
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Heya Sam, Thanks for posting - I think this is a duplicate of #62 which is now fixed in the dev version - see below: library(tidyverse)
library(visdat)
x <- babynames::babynames %>% slice(1:1000)
x$new <- 1
x$new[nrow(x)] <- NA
vis_miss(x)Created on 2018-03-29 by the reprex package (v0.2.0). Session infodevtools::session_info()
#> Session info -------------------------------------------------------------
#> setting value
#> version R version 3.4.4 (2018-03-15)
#> system x86_64, darwin15.6.0
#> ui X11
#> language (EN)
#> collate en_AU.UTF-8
#> tz Australia/Melbourne
#> date 2018-03-29
#> Packages -----------------------------------------------------------------
#> package * version date source
#> assertthat 0.2.0 2017-04-11 CRAN (R 3.4.0)
#> babynames 0.3.0 2017-04-14 CRAN (R 3.4.0)
#> backports 1.1.2 2017-12-13 CRAN (R 3.4.3)
#> base * 3.4.4 2018-03-15 local
#> bindr 0.1.1 2018-03-13 CRAN (R 3.4.4)
#> bindrcpp * 0.2 2017-06-17 CRAN (R 3.4.0)
#> broom 0.4.3 2017-11-20 CRAN (R 3.4.2)
#> cellranger 1.1.0 2016-07-27 CRAN (R 3.4.0)
#> cli 1.0.0 2017-11-05 CRAN (R 3.4.2)
#> colorspace 1.3-2 2016-12-14 CRAN (R 3.4.0)
#> compiler 3.4.4 2018-03-15 local
#> crayon 1.3.4 2018-03-01 Github (gaborcsardi/crayon@95b3eae)
#> curl 3.1 2017-12-12 CRAN (R 3.4.3)
#> datasets * 3.4.4 2018-03-15 local
#> devtools 1.13.5 2018-02-18 cran (@1.13.5)
#> digest 0.6.15 2018-01-28 CRAN (R 3.4.3)
#> dplyr * 0.7.4 2017-09-28 CRAN (R 3.4.2)
#> evaluate 0.10.1 2017-06-24 cran (@0.10.1)
#> forcats * 0.3.0 2018-02-19 CRAN (R 3.4.3)
#> foreign 0.8-69 2017-06-22 CRAN (R 3.4.4)
#> ggplot2 * 2.2.1 2016-12-30 CRAN (R 3.4.0)
#> glue 1.2.0 2017-10-29 cran (@1.2.0)
#> graphics * 3.4.4 2018-03-15 local
#> grDevices * 3.4.4 2018-03-15 local
#> grid 3.4.4 2018-03-15 local
#> gtable 0.2.0 2016-02-26 CRAN (R 3.4.0)
#> haven 1.1.1 2018-01-18 CRAN (R 3.4.3)
#> hms 0.4.2 2018-03-10 CRAN (R 3.4.4)
#> htmltools 0.3.6 2017-04-28 cran (@0.3.6)
#> httr 1.3.1 2017-08-20 CRAN (R 3.4.1)
#> jsonlite 1.5 2017-06-01 CRAN (R 3.4.0)
#> knitr 1.20 2018-02-20 CRAN (R 3.4.3)
#> labeling 0.3 2014-08-23 CRAN (R 3.4.0)
#> lattice 0.20-35 2017-03-25 CRAN (R 3.4.4)
#> lazyeval 0.2.1 2017-10-29 cran (@0.2.1)
#> lubridate 1.7.3 2018-02-27 CRAN (R 3.4.3)
#> magrittr 1.5 2014-11-22 CRAN (R 3.4.0)
#> memoise 1.1.0 2017-04-21 CRAN (R 3.4.0)
#> methods * 3.4.4 2018-03-15 local
#> mime 0.5 2016-07-07 CRAN (R 3.4.0)
#> mnormt 1.5-5 2016-10-15 CRAN (R 3.4.0)
#> modelr 0.1.1 2017-07-24 CRAN (R 3.4.1)
#> munsell 0.4.3 2016-02-13 CRAN (R 3.4.0)
#> nlme 3.1-131.1 2018-02-16 CRAN (R 3.4.4)
#> parallel 3.4.4 2018-03-15 local
#> pillar 1.2.1 2018-02-27 CRAN (R 3.4.3)
#> pkgconfig 2.0.1 2017-03-21 cran (@2.0.1)
#> plyr 1.8.4 2016-06-08 CRAN (R 3.4.0)
#> psych 1.7.8 2017-09-09 CRAN (R 3.4.3)
#> purrr * 0.2.4 2017-10-18 cran (@0.2.4)
#> R6 2.2.2 2017-06-17 cran (@2.2.2)
#> Rcpp 0.12.16 2018-03-13 cran (@0.12.16)
#> readr * 1.1.1 2017-05-16 cran (@1.1.1)
#> readxl 1.0.0 2017-04-18 CRAN (R 3.4.0)
#> reshape2 1.4.3 2017-12-11 CRAN (R 3.4.3)
#> rlang 0.2.0 2018-02-20 CRAN (R 3.4.3)
#> rmarkdown 1.9 2018-03-01 CRAN (R 3.4.3)
#> rprojroot 1.3-2 2018-01-03 CRAN (R 3.4.3)
#> rvest 0.3.2 2016-06-17 CRAN (R 3.4.0)
#> scales 0.5.0.9000 2017-12-06 Github (hadley/scales@d767915)
#> stats * 3.4.4 2018-03-15 local
#> stringi 1.1.7 2018-03-12 cran (@1.1.7)
#> stringr * 1.3.0 2018-02-19 CRAN (R 3.4.3)
#> tibble * 1.4.2 2018-01-22 CRAN (R 3.4.3)
#> tidyr * 0.8.0 2018-01-29 CRAN (R 3.4.3)
#> tidyselect 0.2.4 2018-02-26 CRAN (R 3.4.3)
#> tidyverse * 1.2.1.9001 2018-03-27 local
#> tools 3.4.4 2018-03-15 local
#> utils * 3.4.4 2018-03-15 local
#> visdat * 0.2.2.9200 2018-03-20 local
#> withr 2.1.2 2018-03-15 CRAN (R 3.4.4)
#> xml2 1.2.0 2018-01-24 CRAN (R 3.4.3)
#> yaml 2.1.18 2018-03-08 cran (@2.1.18)Does that work for you? |
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It does! Dev version does not generate this error. Sorry for the duplicate issue & thanks for the quick reply. |
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Hooray! Absolutely no problems re duplicate issue, it reminds me that I should get the next version of visdat out soon. Thanks for posting :) |
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The final column has
new (NA)instead ofnew <1%ornew 1%which is what I'd expect.The text was updated successfully, but these errors were encountered: