gt_f: apply_normalisation

In linea: Linear Regression Interface

apply_normalisation

Description

Normalise data based on pool mean

Usage

gt_f(
  data,
  kw,
  date_col = "date",
  date_type = "weekly starting",
  geo = "all",
  append = TRUE
)

Arguments

data	data.frame containing data for analysis
kw	a string of the search keyword
date_col	a string specifying the date column name
date_type	The date column type as either of the following strings:'weekly starting','weekly ending','daily'
geo	a string specifying the country code of the search found in countrycode::codelist
append	a boolean specifying whether to return the original data.frame as well as the added column

Details

Normalise data by dividing all values in each pool by that pool's mean

Value

data.frame of the original data with the added google trend column

Examples

data = read_xcsv("https://raw.githubusercontent.com/paladinic/data/main/ecomm_data.csv") %>% 
  gt_f(kw = 'covid') %>% 
  gt_f(kw = 'bitcoin')

linea documentation built on Sept. 15, 2022, 9:06 a.m.