ggseqplot error

General
#1

Hi,

I am trying to learn how to plot sequence data using -ggseqplot- I have read through the documentation and examples on several website. However, I can't get any of the -ggseqplot- commands to work. I continue to receive the same errors. I have posted the code below with the error message and I would appreciate any help.

Mary

ggseqiplot(actcal.seq, sortv = "from.end")
Error in dplyr::mutate():
:information_source: In argument: states = forcats::fct_na_value_to_level(.data$states, level = "Missing").
Caused by error:
! 'fct_na_value_to_level' is not an exported object from 'namespace:forcats'
Run rlang::last_trace() to see where the error occurred.
rlang::last_trace()
<error/dplyr:::mutate_error>
Error in dplyr::mutate():
:information_source: In argument: states = forcats::fct_na_value_to_level(.data$states, level = "Missing").
Caused by error:
! 'fct_na_value_to_level' is not an exported object from 'namespace:forcats'

Backtrace:
▆

  1. └─ggseqplot::ggseqiplot(actcal.seq, sortv = "from.end")
  2. ├─base::suppressMessages(...)
  3. │ └─base::withCallingHandlers(...)
  4. ├─dplyr::rename(...)
  5. ├─dplyr::as_tibble(...)
  6. ├─dplyr::mutate(...)
  7. ├─dplyr::group_by(...)
  8. ├─dplyr::mutate(...)
  9. └─dplyr:::mutate.data.frame(...)
  10. └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)

  11.   ├─base::withCallingHandlers(...)

  12.   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)

  13.     └─mask$eval_all_mutate(quo)

  14.       └─dplyr (local) eval()

Run rlang::last_trace(drop = FALSE) to see 3 hidden frames.

#2

This plot was created on my end:

image

my code:

library(TraMineR)
library(ggseqplot)
data(actcal)
actcal.seq <- seqdef(actcal[, 13: 24])
ggseqiplot(actcal.seq, sortv = "from.end")

after following this guide: ggseqiplot: Sequence Index Plot in ggseqplot: Render Sequence Plots using 'ggplot2' (rdrr.io)

1 Like
#3

Hi there,
I am the author of the package and have to admit that this is a "dependency" issue caused by a incorrect specification of the package's dependencies. I forgot to add the required version of dplyr (and other packages). I will fix this in the next release. In the meantime, you can help yourself by updating dplyr, tidyr, and ggplot2.