old: Old functions

R: Old functions
ApplyColumnAggregateR Documentation
Old functions

scanForHeterozygotes-old: scanForHeterozygotes-old

R: scanForHeterozygotes-old
scanForHeterozygotes.oldR Documentation
scanForHeterozygotes-old

scanForHeterozygotes-old: scanForHeterozygotes-old

R: scanForHeterozygotes-old
scanForHeterozygotes.oldR Documentation
scanForHeterozygotes-old

OLD/OLD IGNORE.R:

### OLD Playoffs
dplyr::group_by(division) %>%
dplyr::mutate(

old/old-D/README.md:

(i.e., percent of sample who are female, own an SUV, and are over 55 years old). As mentioned earlier, raking takes only

old/old/old_2/ft_parse.R:

## Function to rename columns according to the counts of each sub-group

old/old-D/wgt_review.R:

# set up ----
library(iterake)
library(tidyverse)

old/old-D/one_pass.R:

# first function does the core weighting presented in a for loop
# one pass

inst/old/old/02_modis_sparkline.R:

library(raadtools)
library(roc)
files <- chla_johnsonfiles(product = "MODISA

inst/old/old/02_bulk_summ_CHL.r:

library(raadtools)
library(roc)
library(aceecostats)

old/old/old_2/ft_distrib.R:

#' Graphical distribution of variables
#' Generic function to display

old/old-D/category.R:

#' Create weighting category
#' This function creates an individual

old/old-D/iterake.R:

#' Iterative raking procedure
#' This function creates row-level weights

old/old-D/testing.R:

library(tidyverse)
fake1 <- readr::read_rds("./data-for-testing/test_data.rds

old/old-D/wgt_stats.R:

wgt_stats <- function(weight) {
# one col df's and numeric vectors