A Dipping Sauce to Data Analysis and Visualization

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

devtools::install_github('dipterix/dipsaus')

dipsaus provides add-ons from the following perspectives:

1. Shiny Customized Widgets (Vignette)

• 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;

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;
• make_async_evaluator queues arbitrary number of tasks and keeps them running in the background without blocking the main session. (vignette);
• baseline_array to baseline arrays in RcppParallel;
• shift_array to shift arrays along given dimensions;
• lapply_async2 uses future package, but with progress bar either in console or in shiny apps;

3. R Expressions (Vignette)

• 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;

4. Utility Functions (Vignette)

• cat2 act as base function cat but provides different levels with different colored outputs;
• 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_cpu gets CPU types and chip-set names;
• 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;
• fast_map2 provides a wrapper on fastmap package, giving the object list-like operations;
• shared_finalizer finalizes multiple elements when last element is garbage collected.