descr() does not always work about sjmisc HOT 9 CLOSED

library(tidyverse)
library(sjmisc)
library(sjPlot)
library(sjstats)
d <- read_stata('GLES_Vorwahlquerschnitt_ZA5700_v1-0-0.dta')
d %>% select(q2c) %>% descr()

Error in mutate_impl(.data, dots) : basic_string::_M_replace_aux
21.
stop(structure(list(message = "basic_string::_M_replace_aux", call = mutate_impl(.data, dots), cppstack = NULL), .Names = c("message", "call", "cppstack"), class = c("std::length_error", "C++Error", "error", "condition")))
20.
mutate_impl(.data, dots)
19.
mutate_.tbl_df(.data, .dots = lazyeval::lazy_dots(...))
18.
mutate_(.data, .dots = lazyeval::lazy_dots(...))
17.
dplyr::mutate(., label = unname(get_label(.data, def.value = colnames(.data))))
16.
function_list[[i]](value)
15.
freduce(value, `_function_list`)
14.
`_fseq`(`_lhs`)
13.
eval(expr, envir, enclos)
12.
eval(quote(`_fseq`(`_lhs`)), env, env)
11.
withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
10.
tibble::as_tibble(psych::describe(.data)) %>% tibble::rownames_to_column(var = "variable") %>% dplyr::select_("-vars", "-mad") %>% dplyr::mutate(label = unname(get_label(.data, def.value = colnames(.data)))) %>% var_rename(median = "md")
9.
descr(.)
8.
function_list[[k]](value)
7.
withVisible(function_list[[k]](value))
6.
freduce(value, `_function_list`)
5.
`_fseq`(`_lhs`)
4.
eval(expr, envir, enclos)
3.
eval(quote(`_fseq`(`_lhs`)), env, env)
2.
withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
1.
d %>% select(q2c) %>% descr()


sessionInfo()

R version 3.3.1 (2016-06-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04 LTS

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8       
 [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=de_DE.UTF-8       LC_NAME=C                  LC_ADDRESS=C              
[10] LC_TELEPHONE=C             LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] bindrcpp_0.1     sjstats_0.7.0    sjPlot_2.1.2     sjmisc_2.1.0     dplyr_0.5.0.9000
 [6] purrr_0.2.2      readr_1.0.0      tidyr_0.6.0      tibble_1.2       ggplot2_2.2.0   
[11] tidyverse_1.0.0 

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.8         bindr_0.1           formatR_1.4         nloptr_1.0.4       
 [5] plyr_1.8.4          effects_3.1-2       tools_3.3.1         lme4_1.1-12        
 [9] nlme_3.1-128        gtable_0.2.0        lattice_0.20-34     Matrix_1.2-7.1     
[13] psych_1.6.9         DBI_0.5-1           parallel_3.3.1      mvtnorm_1.0-5      
[17] coin_1.1-3          haven_1.0.0         stringr_1.1.0       knitr_1.14         
[21] lmtest_0.9-34       stats4_3.3.1        nnet_7.3-12         grid_3.3.1         
[25] R6_2.2.0            survival_2.40-1     foreign_0.8-67      multcomp_1.4-6     
[29] TH.data_1.0-7       minqa_1.2.4         modelr_0.1.0        reshape2_1.4.2     
[33] magrittr_1.5        codetools_0.2-15    modeltools_0.2-21   scales_0.4.1       
[37] splines_3.3.1       MASS_7.3-45         stringdist_0.9.4.2  assertthat_0.1     
[41] mnormt_1.5-5        colorspace_1.2-7    sandwich_2.3-4      stringi_1.1.2      
[45] lazyeval_0.2.0.9000 munsell_0.4.3       broom_0.4.1         zoo_1.7-13