aggRviz_filter2: Filter aggregated data to a chosen level

In amygoldlist/aggRviz: A package for dealing with data aggregated at many levels

Description

The columns to delete are the features that you DO NOT want to stratify by. This function filters out any row, stratified by those columns, and filters out any unstratified rows from the other features.

Usage

aggRviz_filter2(data, col_2_delete = NULL, col_2_keep = NULL,
  features = NULL, all_symbol = "", fix_place = TRUE,
  places = c("State.or.Province", "Region", "Country"))

Arguments

data	data.frame
col_2_delete	vector
col_2_keep	vector
features	vector
all_symbol	character
fix_place	logical
places	vector

Details

OPTION: col_2_keep lets you filter "in"

Option: if it's not a blank for all categories, set all_symbol This could be NA, or " " or "all".

Option: if you set features, it will only delete columns in that set

Option: fix_place allows you to deal with nested places, that is State.or.Province is in Region is in Country. For now, these are the 3 fixed places: places[1] subset places[2] subset places[3]

In future release, this will be a variable number of places! but for now it only works with 3 (ordered) places

Value

data.frame

Examples

load("../example_data/yummy.Rda")
dat_1

aggRviz_filter2(data = dat_1,col_2_delete= c("Dessert", "Fruit"))

amygoldlist/aggRviz documentation built on May 16, 2019, 11:10 p.m.