factor_year: Make Column As Factor

In YuanchenZhu2020/antgreens: Automatic Generation of Vegetable Report

Description

The subject variants of 'factor_*' has: * 'year': factor numeric year variable * 'quarter': (make quarter readable and) factor quarter character * 'province': factor province character * 'category': factor category character * 'product': factor product character * 'drug': factor drug character * 'timeline': factor timeline character

Usage

factor_year(dataset)

factor_quarter(
  dataset,
  readable = FALSE,
  quarter_trans = antgreens::quarter_readable
)

factor_province(dataset)

factor_category(dataset)

factor_product(dataset)

factor_drug(dataset)

factor_timeline(dataset)

Arguments

dataset	data frame
readable	logical, default TRUE. If set TRUE then make quarter column readable and as a factor.
quarter_trans	list containing 4 characters and the names of each element is 1, 2, 3, 4, which represents the four quarters.

Examples

data <- data.frame(
year = 2016:2019, quarter = c(1,2,3,4), province = c('ab','bc','cd','de'), category = c('ab','bc','cd','de'), product = c('ab','bc','cd','de'), drug = c('ab','bc','cd','de'))
quarter_trans <- list(`1`='a',`2`='b',`3`='c',`4`='d')
# factor year
factor_year(data)
# factor quarter
factor_quarter(data)
factor_quarter(data, readable = TRUE, quarter_trans = quarter_trans)
# factor province
factor_province(data)
# factor category
factor_category(data)
# factor product
factor_product(data)
# factor drug
factor_drug(data)
# factor timeline
factor_timeline(combine_year_quarter(data))

YuanchenZhu2020/antgreens documentation built on Dec. 18, 2021, 8:20 p.m.