Last updated on 2024-04-19 08:54:56 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.4.2 | 16.14 | 131.50 | 147.64 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.4.2 | OK | ||||
| r-devel-linux-x86_64-fedora-clang | 0.4.2 | 186.85 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.4.2 | 200.40 | ERROR | |||
| r-prerel-macos-arm64 | 0.4.2 | 56.00 | OK | |||
| r-prerel-windows-x86_64 | 0.4.2 | 13.00 | 105.00 | 118.00 | OK | |
| r-patched-linux-x86_64 | 0.4.2 | 9.08 | 125.10 | 134.18 | ERROR | |
| r-release-linux-x86_64 | 0.4.2 | 9.36 | 125.79 | 135.15 | ERROR | |
| r-release-macos-arm64 | 0.4.2 | 58.00 | OK | |||
| r-release-macos-x86_64 | 0.4.2 | 113.00 | OK | |||
| r-release-windows-x86_64 | 0.4.2 | 17.00 | 129.00 | 146.00 | OK | |
| r-oldrel-macos-arm64 | 0.4.2 | 48.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.4.2 | 17.00 | 144.00 | 161.00 | OK |
Version: 0.4.2
Check: examples
Result: ERROR
Running examples in ‘stminsights-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: get_network
> ### Title: extract topic correlation network
> ### Aliases: get_network
>
> ### ** Examples
>
>
> library(stm)
stm v1.3.7 successfully loaded. See ?stm for help.
Papers, resources, and other materials at structuraltopicmodel.com
> library(ggraph)
Loading required package: ggplot2
> library(quanteda)
Package version: 4.0.1
Unicode version: 15.0
ICU version: 72.1
Parallel computing: 3 of 32 threads used.
See https://quanteda.io for tutorials and examples.
>
> # prepare data
> data <- corpus(gadarian, text_field = 'open.ended.response')
> docvars(data)$text <- as.character(data)
>
> data <- tokens(data, remove_punct = TRUE) |>
+ tokens_wordstem() |>
+ tokens_remove(stopwords('english')) |> dfm() |>
+ dfm_trim(min_termfreq = 2)
>
> out <- convert(data, to = 'stm')
>
> # fit model
> gadarian_10 <- stm(documents = out$documents,
+ vocab = out$vocab,
+ data = out$meta,
+ prevalence = ~ treatment + s(pid_rep),
+ K = 10,
+ max.em.its = 1, # reduce computation time for example
+ verbose = FALSE)
>
> # extract network
> stm_corrs <- get_network(model = gadarian_10,
+ method = 'simple',
+ labels = paste('Topic', 1:10),
+ cutoff = 0.001,
+ cutiso = TRUE)
Error in get_network(model = gadarian_10, method = "simple", labels = paste("Topic", :
There are no (sufficiently high) correlations between the topics of this STM model.
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 0.4.2
Check: examples
Result: ERROR
Running examples in ‘stminsights-Ex.R’ failed
The error most likely occurred in:
> ### Name: get_network
> ### Title: extract topic correlation network
> ### Aliases: get_network
>
> ### ** Examples
>
>
> library(stm)
stm v1.3.7 successfully loaded. See ?stm for help.
Papers, resources, and other materials at structuraltopicmodel.com
> library(ggraph)
Loading required package: ggplot2
> library(quanteda)
Package version: 4.0.1
Unicode version: 13.0
ICU version: 69.1
Parallel computing: disabled
See https://quanteda.io for tutorials and examples.
>
> # prepare data
> data <- corpus(gadarian, text_field = 'open.ended.response')
> docvars(data)$text <- as.character(data)
>
> data <- tokens(data, remove_punct = TRUE) |>
+ tokens_wordstem() |>
+ tokens_remove(stopwords('english')) |> dfm() |>
+ dfm_trim(min_termfreq = 2)
>
> out <- convert(data, to = 'stm')
>
> # fit model
> gadarian_10 <- stm(documents = out$documents,
+ vocab = out$vocab,
+ data = out$meta,
+ prevalence = ~ treatment + s(pid_rep),
+ K = 10,
+ max.em.its = 1, # reduce computation time for example
+ verbose = FALSE)
>
> # extract network
> stm_corrs <- get_network(model = gadarian_10,
+ method = 'simple',
+ labels = paste('Topic', 1:10),
+ cutoff = 0.001,
+ cutiso = TRUE)
Error in get_network(model = gadarian_10, method = "simple", labels = paste("Topic", :
There are no (sufficiently high) correlations between the topics of this STM model.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc