Package index • gauntlet

All functions

auto_make_lag_col(): Make multiple lagged columns.

auto_make_rMean_col(): Make multiple rolling mean functions.

checkPkg_add_pkgFnctns_links(): Add Package Qualifiers to Functions in a Script

checkPkg_add_roxygen_dontrun(): Ensure dontrun Wrapping Around @examples

checkPkg_make_importFrom_fnctn_statments(): Add @importFrom Statements Based on Script Dependencies

checkPkg_map_functions_and_scripts(): Map Functions and Scripts in an R Package

checkPkg_scrpt_fnctn_names(): Check Script and Function Names in a Package Directory

check_dir_path(): Check and create a directory path

count_percent_zscore(): Group by count, sum, percent and zscore.

count_percent_zscore_dt(): Group by count, sum, percent and zscore - datatable variant.

crrct0(): Rescale a vector with first entry.

detail_R_scripts(): Extract and Summarize Script Metadata from R Scripts

dgt0(): Round to 0 digits

dgt1(): Round to 1 digits

dgt2(): Round to 2 digits

dgt3(): Round to 3 digits

flatten_named_list(): Flatten a named list

floor_divide(): Floor divide a vector by some value.

gdrive_files_to_rds(): Get and Save Files from Google Drive

gdrive_send_rds_files(): Send RDS Files to Google Drive

group_wtd_quantiles(): Calculate quantiles for groups of pre-aggregated metrics.

knit_dashboard(): Automate knitting of RMD FlexDashboards to HTML.

knit_markdown(): Automate knitting of RMD to HTML.

lmt0(): Limit to Non-Negative Values

log_and_fatal(): Log and print to console an info message.

log_and_info(): Log and print to console an info message.

log_and_warn(): Log and print to console a warn message.

make_diff(): make_diff

make_dir_prfx_date(): Create a directory with a prefix and date

make_lag_col(): make_lag_col

make_new_rmd(): Make new Rmd script from template.

make_new_script(): Make new R script from template.

make_rMean_col(): make_rMean_col

normalize_min_max(): Apply Min-Max normalization to a numeric vector.

package_load(): Load many packages.

print_named_list(): Convert named list to string

quick_date_rng(): Quick Date Range

read_csv_allFiles2(): Read multiple csv files in singular folder.

read_rds_allFiles(): Read multiple RDS files in singular folder.

read_xlsx_allFiles(): Read multiple RDS files in singular folder.

remindMe_function_doc_prompt(): Print basic LLM prompt for function docummnetation.

remindMe_gitIgnore(): Print basic to console basic tryCatch template

remindMe_packages_to_use(): Print basic packages that to use template

remindMe_trycatch(): Print basic to console basic tryCatch template

remove_reversed_dupe_cols(): Remove Reversed Duplicate Rows from a Data Frame

robust_prompt_used(): Ask user for T/F input with user defined prompt.

roll_mad(): Make MAD (median absolute deviation) values.

shiny_box_common(): Create a standardized box for UI elements in Shiny applications

shiny_bs_popover(): Create a Shiny button with popover message

shiny_get_list_items(): Extract specific elements from the Shiny input list

shiny_modal(): Create a convenient Shiny modal for pop-up messages

shiny_spacer_row(): Create a blank spacer row for spacing between UI elements

strg_clean_date(): Make a clean date string of current date with simple punctuation and syntax.

strg_clean_datetime(): Make a clean datetime string of current datetime with simple punctuation and syntax.

strg_col_clean(): Quickly clean a dataframe's column names

strg_fun_eval(): Evaluate a string as a command

strg_make_space_2(): Create a string of repeated characters for indentation purposes

strg_numeric_order(): Order factor levels numerically

strg_parse_args(): Parse Command Line Arguments

strg_pretty_char(): Make a character string pretty

strg_pretty_num(): Make a number pretty for printing

tar_scan_file(): Scan File for Target String

ts_mad(): Make rolling MAD (median absolute deviation) values for dataframe attribute.

ts_zscore(): Make rolling zscore attribute from timeseries.