Comments (1)
Sorry I have overlooked this. This is indeed the case, thank you so much for linking to this line of code, this has made this much easier to debug!
OK, so here is pre the change:
library(visdat)
library(tibble)
temp <- rnorm(n = 10000,
mean = 25,
sd = 2.5)
temp[1:10] <- NA
wind <- rnorm(n = 10000,
mean = 15,
sd = 7.5)
wind[1:12] <- NA
ozone <- rnorm(n = 10000,
mean = 43,
sd = 30)
ozone[1:8] <- NA
dat <- tibble(temp,
wind,
ozone)
dat
#> # A tibble: 10,000 x 3
#> temp wind ozone
#> <dbl> <dbl> <dbl>
#> 1 NA NA NA
#> 2 NA NA NA
#> 3 NA NA NA
#> 4 NA NA NA
#> 5 NA NA NA
#> 6 NA NA NA
#> 7 NA NA NA
#> 8 NA NA NA
#> 9 NA NA 16.3
#> 10 NA NA 4.26
#> # ... with 9,990 more rows
vis_miss(dat)
Created on 2018-03-20 by the reprex package (v0.2.0).
This once I made a change to lines 76 and 80
library(visdat)
library(tibble)
temp <- rnorm(n = 10000,
mean = 25,
sd = 2.5)
temp[1:10] <- NA
wind <- rnorm(n = 10000,
mean = 15,
sd = 7.5)
wind[1:12] <- NA
ozone <- rnorm(n = 10000,
mean = 43,
sd = 30)
ozone[1:8] <- NA
dat <- tibble(temp,
wind,
ozone)
dat
#> # A tibble: 10,000 x 3
#> temp wind ozone
#> <dbl> <dbl> <dbl>
#> 1 NA NA NA
#> 2 NA NA NA
#> 3 NA NA NA
#> 4 NA NA NA
#> 5 NA NA NA
#> 6 NA NA NA
#> 7 NA NA NA
#> 8 NA NA NA
#> 9 NA NA 47.1
#> 10 NA NA 17.3
#> # ... with 9,990 more rows
vis_miss(dat)
Created on 2018-03-20 by the reprex package (v0.2.0).
I think that is it - but please feel free to open this if it doesn't work :)
from visdat.
Related Issues (20)
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- vis_miss do not render empty lists as missing values within list columns
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- Release visdat 0.6.0
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- use latest pkgdown bootstrap V3
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from visdat.