Factors¶
set.seed(42)
satisfaction <- sample(1:4,size=20,replace=TRUE)
satisfaction
[1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2
satisfaction <- ordered(satisfaction,
levels=1:4,
labels=c(
"not at all",
"low",
"medium",
"high"))
satisfaction
[1] not at all not at all not at all not at all low high
[7] low low not at all high medium high
[13] medium high not at all not at all low high
[19] low low
Levels: not at all < low < medium < high
table(satisfaction)
satisfaction
not at all low medium high
7 6 2 5
levels(satisfaction)
[1] "not at all" "low" "medium" "high"
country.orig <- sample(
c("England","Northern Ireland","Scotland","Wales"),
size=50,
prob=c(54786300,5373000,3099100,1851600)/65110000,
replace=TRUE
)
country <- factor(country.orig)
country
[1] Northern Ireland England Wales Scotland
[5] England England England Northern Ireland
[9] England England England England
[13] England England England England
[17] England England Northern Ireland England
[21] England England England Wales
[25] England Scotland Northern Ireland England
[29] Scotland England England England
[33] England England England England
[37] England England England England
[41] England Wales England England
[45] Northern Ireland England England England
[49] England England
Levels: England Northern Ireland Scotland Wales
country <- factor(country.orig,
levels=c("England","Wales","Scotland",
"Northern Ireland"))
country
[1] Northern Ireland England Wales Scotland
[5] England England England Northern Ireland
[9] England England England England
[13] England England England England
[17] England England Northern Ireland England
[21] England England England Wales
[25] England Scotland Northern Ireland England
[29] Scotland England England England
[33] England England England England
[37] England England England England
[41] England Wales England England
[45] Northern Ireland England England England
[49] England England
Levels: England Wales Scotland Northern Ireland
table(country)
country
England Wales Scotland Northern Ireland
39 3 3 5
str(country)
Factor w/ 4 levels "England","Wales",..: 4 1 2 3 1 1 1 4 1 1 ...
as.numeric(country)
[1] 4 1 2 3 1 1 1 4 1 1 1 1 1 1 1 1 1 1 4 1 1 1 1 2 1 3 4 1 3 1 1 1 1 1 1 1 1 1
[39] 1 1 1 2 1 1 4 1 1 1 1 1
levels(country) <- c("EN","NI","SC","WL")
table(country)
country
EN NI SC WL
39 3 3 5
- R file: factors.R
- Rmarkdown file: factors.Rmd
- Jupyter notebook file: factors.ipynb
- Interactive version of the Jupyter notebook (shuts down after 60s):
- Interactive version of the Jupyter notebook (sign in required):
