Running examples in 'sjmisc-Ex.R' failed
The error most likely occurred in:

> ### Name: ref_lvl
> ### Title: Change reference level of (numeric) factors
> ### Aliases: ref_lvl
> 
> ### ** Examples
> 
> data(efc)
> x <- to_factor(efc$e42dep)
> str(x)
 Factor w/ 4 levels "1","2","3","4": 3 3 3 4 4 4 4 4 4 4 ...
 - attr(*, "labels")= Named num [1:4] 1 2 3 4
  ..- attr(*, "names")= chr [1:4] "independent" "slightly dependent" "moderately dependent" "severely dependent"
 - attr(*, "label")= chr "elder's dependency"
> frq(x)

elder's dependency (x) <categorical>
# total N=908  valid N=901  mean=2.94  sd=0.94

 val                label frq raw.prc valid.prc cum.prc
   1          independent  66    7.27      7.33    7.33
   2   slightly dependent 225   24.78     24.97   32.30
   3 moderately dependent 306   33.70     33.96   66.26
   4   severely dependent 304   33.48     33.74  100.00
  NA                   NA   7    0.77        NA      NA

> 
> # see column "val" in frq()-output, which indicates
> # how values/labels were recoded after using ref_lvl()
> x <- ref_lvl(x, lvl = 3)
> str(x)
 Factor w/ 4 levels "1","2","3","4": 1 1 1 4 4 4 4 4 4 4 ...
 - attr(*, "label")= chr "elder's dependency"
 - attr(*, "labels")= Named num [1:4] 1 2 3 4
  ..- attr(*, "names")= chr [1:4] "moderately dependent" "independent" "slightly dependent" "severely dependent"
> frq(x)

elder's dependency (x) <categorical>
# total N=908  valid N=901  mean=2.58  sd=1.26

 val                label frq raw.prc valid.prc cum.prc
   1 moderately dependent 306   33.70     33.96   33.96
   2          independent  66    7.27      7.33   41.29
   3   slightly dependent 225   24.78     24.97   66.26
   4   severely dependent 304   33.48     33.74  100.00
  NA                   NA   7    0.77        NA      NA

> 
> library(dplyr)

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

> dat <- efc %>%
+   select(c82cop1, c83cop2, c84cop3) %>%
+   to_factor()
> 
> frq(dat)

do you feel you cope well as caregiver? (c82cop1) <categorical>
# total N=908  valid N=901  mean=3.12  sd=0.58

 val     label frq raw.prc valid.prc cum.prc
   1     never   3    0.33      0.33    0.33
   2 sometimes  97   10.68     10.77   11.10
   3     often 591   65.09     65.59   76.69
   4    always 210   23.13     23.31  100.00
  NA        NA   7    0.77        NA      NA


do you find caregiving too demanding? (c83cop2) <categorical>
# total N=908  valid N=902  mean=2.02  sd=0.72

 val     label frq raw.prc valid.prc cum.prc
   1     Never 186   20.48     20.62   20.62
   2 Sometimes 547   60.24     60.64   81.26
   3     Often 130   14.32     14.41   95.68
   4    Always  39    4.30      4.32  100.00
  NA        NA   6    0.66        NA      NA


does caregiving cause difficulties in your relationship with your friends? (c84cop3) <categorical>
# total N=908  valid N=902  mean=1.63  sd=0.87

 val     label frq raw.prc valid.prc cum.prc
   1     Never 516   56.83     57.21   57.21
   2 Sometimes 252   27.75     27.94   85.14
   3     Often  82    9.03      9.09   94.24
   4    Always  52    5.73      5.76  100.00
  NA        NA   6    0.66        NA      NA

> ref_lvl(dat, c82cop1, c83cop2, lvl = 2) %>% frq()

do you feel you cope well as caregiver? (c82cop1) <categorical>
# total N=908  valid N=901  mean=3.01  sd=0.82

 val     label frq raw.prc valid.prc cum.prc
   1 sometimes  97   10.68     10.77   10.77
   2     never   3    0.33      0.33   11.10
   3     often 591   65.09     65.59   76.69
   4    always 210   23.13     23.31  100.00
  NA        NA   7    0.77        NA      NA


do you find caregiving too demanding? (c83cop2) <categorical>
# total N=908  valid N=902  mean=1.62  sd=0.88

 val     label frq raw.prc valid.prc cum.prc
   1 Sometimes 547   60.24     60.64   60.64
   2     Never 186   20.48     20.62   81.26
   3     Often 130   14.32     14.41   95.68
   4    Always  39    4.30      4.32  100.00
  NA        NA   6    0.66        NA      NA


does caregiving cause difficulties in your relationship with your friends? (c84cop3) <categorical>
# total N=908  valid N=902  mean=1.63  sd=0.87

 val     label frq raw.prc valid.prc cum.prc
   1     Never 516   56.83     57.21   57.21
   2 Sometimes 252   27.75     27.94   85.14
   3     Often  82    9.03      9.09   94.24
   4    Always  52    5.73      5.76  100.00
  NA        NA   6    0.66        NA      NA

> 
> # compare numeric and string value for "lvl"-argument
> x <- to_factor(efc$e42dep)
> frq(x)

elder's dependency (x) <categorical>
# total N=908  valid N=901  mean=2.94  sd=0.94

 val                label frq raw.prc valid.prc cum.prc
   1          independent  66    7.27      7.33    7.33
   2   slightly dependent 225   24.78     24.97   32.30
   3 moderately dependent 306   33.70     33.96   66.26
   4   severely dependent 304   33.48     33.74  100.00
  NA                   NA   7    0.77        NA      NA

> ref_lvl(x, lvl = 2) %>% frq()

elder's dependency (x) <categorical>
# total N=908  valid N=901  mean=2.76  sd=1.16

 val                label frq raw.prc valid.prc cum.prc
   1   slightly dependent 225   24.78     24.97   24.97
   2          independent  66    7.27      7.33   32.30
   3 moderately dependent 306   33.70     33.96   66.26
   4   severely dependent 304   33.48     33.74  100.00
  NA                   NA   7    0.77        NA      NA

> ref_lvl(x, lvl = "slightly dependent") %>% frq()

elder's dependency (x) <categorical>
# total N=908  valid N=901  mean=2.76  sd=1.16

 val                label frq raw.prc valid.prc cum.prc
   1   slightly dependent 225   24.78     24.97   24.97
   2          independent  66    7.27      7.33   32.30
   3 moderately dependent 306   33.70     33.96   66.26
   4   severely dependent 304   33.48     33.74  100.00
  NA                   NA   7    0.77        NA      NA

> 
> # factors with non-numeric factor levels
> data(iris)
> levels(iris$Species)
Warning in levels(iris$Species) : internal error 5 in R_decompress3
Error in levels(iris$Species) : 
  lazy-load database 'D:\RCompile\recent\R\library\datasets/data/Rdata.rdb' is corrupt
Execution halted