## ---- include = FALSE--------------------------------------------------------- dir <- tempdir() knitr::opts_knit$set(root.dir = normalizePath(tempdir(), winslash = '/')) # dyncli is not installed on travis or CRAN, so don't run some parts of the vignette there NOT_CRAN <- Sys.getenv("NOT_CRAN") == "" || identical(tolower(Sys.getenv("NOT_CRAN")), "true") NOT_TRAVIS <- !identical(tolower(Sys.getenv("TRAVIS")), "true") ## ----setup-------------------------------------------------------------------- library(dynwrap) ## ---- echo = FALSE------------------------------------------------------------ definition_string <- paste0(readLines(system.file("examples/script/definition.yml", package = "dynwrap")), "\n", collapse = "") readr::write_file(definition_string, "definition.yml") knitr::asis_output(paste0("```yaml\n", definition_string, "\n```")) ## ---- echo = FALSE------------------------------------------------------------ run_r_string <- paste0(readLines(system.file("examples/script/run.R", package = "dynwrap")), "\n", collapse = "") readr::write_file(run_r_string, "run.R") knitr::asis_output(paste0("```r\n", run_r_string, "\n```")) ## ---- echo = FALSE------------------------------------------------------------ run_py_script <- paste0(readLines(system.file("examples/script/run.py", package = "dynwrap")), "\n", collapse = "") readr::write_file(run_py_script, "run.py") knitr::asis_output(paste0("```python\n", run_py_script, "\n```")) ## ---- eval=FALSE-------------------------------------------------------------- # method <- create_ti_method_definition("definition.yml", "run.R") # dataset <- dynwrap::example_dataset # trajectory <- infer_trajectory(dataset, method(), verbose = TRUE) ## ---- eval=FALSE-------------------------------------------------------------- # library(dynplot) # # for now, install from github using: # # remotes::install_github("dynverse/dynplot") # plot_graph(trajectory) # plot_heatmap(trajectory, expression_source = dataset$expression) ## ---- error = TRUE, eval = FALSE---------------------------------------------- # trajectory <- infer_trajectory(dataset, method(), debug = TRUE) ## ---- echo = FALSE------------------------------------------------------------ temp_files <- c("run.R", "run.py", "definition.yml") for (file in temp_files) { if (file.exists(file)) file.remove(file) }