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-rw-r--r--inst/rmarkdown/templates/hierarchical_kinetics/skeleton/skeleton.Rmd12
1 files changed, 8 insertions, 4 deletions
diff --git a/inst/rmarkdown/templates/hierarchical_kinetics/skeleton/skeleton.Rmd b/inst/rmarkdown/templates/hierarchical_kinetics/skeleton/skeleton.Rmd
index 71d62677..0baf866a 100644
--- a/inst/rmarkdown/templates/hierarchical_kinetics/skeleton/skeleton.Rmd
+++ b/inst/rmarkdown/templates/hierarchical_kinetics/skeleton/skeleton.Rmd
@@ -220,9 +220,13 @@ Separate evaluations of all datasets are performed with constant variance
and using two-component error.
```{r path-1-sep, dependson = c("path-1-degmod", "ds")}
-cl <- start_cluster(n_cores)
+cl_path <- NULL
+# Uncomment the next line for parallel processing. This does not work on Windows,
+# as stored dlls (that we need for caching to work) do not seem to work on
+# PSOCK clusters generated on Windows.
+# cl_path <- start_cluster(n_cores)
sforb_sep_const <- mmkin(list(sforb_path = m_sforb_sfo2), ds,
- cluster = cl, quiet = TRUE)
+ cluster = cl_path, quiet = TRUE)
sforb_sep_tc <- update(sforb_sep_const, error_model = "tc")
```
@@ -240,7 +244,7 @@ model that was identified for the parent degradation, are attempted below.
path_1 <- mhmkin(list(sforb_sep_const, sforb_sep_tc),
no_random_effect = c("lambda_free_0", "log_k_lambda_free_bound"),
covariates = covariates, covariate_models = list(log_k_lambda_bound_free ~ pH),
- cluster = cl)
+ cluster = cl_path)
```
```{r dependson = "path-1"}
@@ -294,7 +298,7 @@ endpoints(parent_best_pH_2)
```
```{r}
-stopCluster(cl)
+if (!is.null(cl_path)) stopCluster(cl_path)
```
\clearpage

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