Error in re-building vignettes:
  ...

Attaching package: 'dplyr'

The following object is masked from 'package:glue':

    collapse

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

    filter, lag

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

    intersect, setdiff, setequal, union

-------------------------------------------------------------------------
You have loaded plyr after dplyr - this is likely to cause problems.
If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
library(plyr); library(dplyr)
-------------------------------------------------------------------------

Attaching package: 'plyr'

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

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

Scale for 'y' is already present. Adding another scale for 'y', which
will replace the existing scale.
Loading required package: Matrix
Computing p-values via Kenward-Roger approximation. Use `p.kr = FALSE` if computation takes too long.
Warning in bind_rows_(x, .id) :
  binding factor and character vector, coercing into character vector
Warning in bind_rows_(x, .id) :
  binding character and factor vector, coercing into character vector

Attaching package: 'purrr'

The following object is masked from 'package:plyr':

    compact




`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
t is large; approximation invoked.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
t is large; approximation invoked.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
t is large; approximation invoked.
t is large; approximation invoked.
t is large; approximation invoked.
t is large; approximation invoked.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
t is large; approximation invoked.
t is large; approximation invoked.
t is large; approximation invoked.
t is large; approximation invoked.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Error in chisq.test(counts, p = expProps) : 
  'x' must at least have 2 elements

Killed