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https://github.com/dipterix/dipsaus

My personal toolbox, R package dipsaus, feel free to copy them
https://github.com/dipterix/dipsaus

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My personal toolbox, R package dipsaus, feel free to copy them

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# Dipping Sauce for Data Analysis and Visualization



[![CRAN-version](https://www.r-pkg.org/badges/version/dipsaus)](https://CRAN.R-project.org/package=dipsaus)

[![Develop](https://dipterix.r-universe.dev/badges/dipsaus)](https://dipterix.r-universe.dev/ui#builds)

[![CRAN-version](http://cranlogs.r-pkg.org/badges/grand-total/dipsaus)](https://CRAN.R-project.org/package=dipsaus)

[![R-check](https://github.com/dipterix/dipsaus/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/dipterix/dipsaus/actions/workflows/R-CMD-check.yaml)



Package `dipsaus` provides `add-ons` to various packages such as `shiny`, `rlang`, `future`, etc. to enhance these packages. To install the package,



```r

# To install the development package

# remotes::install_github('dipterix/dipsaus')



# To install from CRAN

install.packages("dipsaus")

```



`dipsaus` provides `add-ons` from the following perspectives:



### 1. `Shiny` Customized Widgets ([Vignette](https://dipterix.org/dipsaus/articles/shiny_customized_widgets.html))



* `compoundInput2` assembles any shiny native inputs and create variable-length input;

* `actionButtonStyled` add styles to shiny default `actionButton` and its updating function can also update the styles or enable/disable the button;

* `sync_shiny_inputs` synchronize among shiny inputs without causing dead-locks in UI changes;

* `set_shiny_input` to set shiny `input` object;

* `flex_div` to display elements with `flex` layout;

* `html_asis` escapes string so that they will be displayed 'as-is' on websites;

* `progress2` shows shiny progress bar, but it also works without shiny;

* `shiny_is_running` check if shiny is running;



### 2. Parallel Functions



* `collapse` is a parallel solution to calculate sum/mean along arrays, providing `4x` speed-ups for large arrays;

* `make_forked_clusters` enables `multicore` (forked clusters) in `future` package even in `RStudio` environment;

* `baseline_array` to baseline arrays in multicore;

* `shift_array` to shift arrays along given dimensions;

* `lapply_async2` uses `future` package, but with progress bar either in console or in shiny apps;

* `fastcov2` calculates covariance matrices in parallel;

* `rs_exec` starts a new R session or job in `RStudio`;



### 3. R Expressions ([Vignette](https://dipterix.org/dipsaus/articles/r_expr_addons.html))



* `eval_dirty` works as `base::eval`, but supports quosures generated from `rlang::quo`;

* `match_calls` match calls in a nested manner, and support changing the call arguments recursively;

* `%?<-%` assigns default values to left-hand object. E.g. `a %?<-% 1` assigns `a` to be `1` if `a` is `NULL` or does not exist;

* `%=>%` provides JavaScript-style of creating functions;

* `new_function2` creates new function with quasi-quotation;

* `mask_function2` modifies function and mask certain elements within a function;

* `capture_expr` captures messages and always return results as one-line string;

* `forelse` provides Python-like for-else syntax;

* `test_farg` tests whether function contains desired arguments;



### 4. Utility Functions ([Vignette](https://dipterix.org/dipsaus/articles/utility_functions.html))



* `check_installed_packages`, `package_installed` checks if package(s) are installed;

* `col2hexStr` convert color to hex strings that are friendly to `HTML`, `CSS` and `JavaScript`;

* `parse_svec` converts a string into integer vectors, `deparse_svec` converts integer vectors back into a compact string;

* `drop_nulls` removes invalid items within lists;

* `get_ram`, `mem_limit2` gets total RAM size as an alternatives for `mem.limits` in non-windows environment;

* `to_ram_size` provides simple way to convert numbers to printable storage sizes in given units;

* `time_delta` calculates time differences and returns a number in given units;

* `ask_yesno`, `ask_or_default` interactively ask for user's input either in console or in `RStudio`;

* `fastmap2` and `fastqueue2` provides a wrapper of `fastmap` package, giving the object list-like operations;

* `shared_finalizer` finalizes multiple elements when last element is garbage collected;

* `dev_create` allows managing and grouping graphic devices;

* `print_directory_tree` prints directory and containing files into tree-structures;

* `rs_*` functions wrapping `rstudioapi` functions, but work without `RStudio`;

* `sexp_type2` get internal data type code;

* `to_datauri` converts file to `base64` formats.