factor – 10,000 hour challenge of microbe

Change the label of legend not by changing…

Change the label of legend not by changing the data.

# data
grp <- gl(n=4,k=20,labels=c("group a","group b","group c", "group d"))
value <- runif(n=80, min=10, max=150)
outcome <- cut(value,2)
data <- data.frame(grp,value,outcome)

# Option 1
# breaks should be exactly the same as the levels of the factor
ggplot(data, aes(grp, fill=outcome)) + geom_bar() +xlab("group") +
    ylab("number of subjects") + 
    scale_fill_discrete("Serologic response", 
                        breaks=c("(12.1,79.7]","(79.7,147]"),   # should be the same as the levels of the factor
                        labels=c("double negative", "positive for a and/or b")
                        )

# Option 2
# simpler because factor() takes care of the levels of the factor
ggplot(data, aes(grp, 
         fill=factor(outcome,labels=c("double negative","positive for a")))) + 
    geom_bar() +xlab("group") +ylab("number of subjects") +
    labs(fill="Serologic response")

# data

grp <- gl(n=4,k=20,labels=c("group a","group b","group c", "group d"))

value <- runif(n=80, min=10, max=150)

outcome <- cut(value,2)

data <- data.frame(grp,value,outcome)

# Option 1

# breaks should be exactly the same as the levels of the factor

ggplot(data, aes(grp, fill=outcome)) + geom_bar() +xlab("group") +

ylab("number of subjects") +

scale_fill_discrete("Serologic response",

breaks=c("(12.1,79.7]","(79.7,147]"), # should be the same as the levels of the factor

labels=c("double negative", "positive for a and/or b")

)

# Option 2

# simpler because factor() takes care of the levels of the factor

ggplot(data, aes(grp,

fill=factor(outcome,labels=c("double negative","positive for a")))) +

geom_bar() +xlab("group") +ylab("number of subjects") +

labs(fill="Serologic response")

http://stackoverflow.com/questions/7323191/how-do-i-manually-change-the-key-labels-in-a-legend-in-ggplot2

R factors levels labels # sample data originally…

R factors, levels, labels

# sample data originally numbers
# 1 = male, 2 = female

people.n <- c(1, 1, 2, 2, 2)
people.c <- c("male", "male", "female", "female", "female")

# create a factor
people.n.f <- factor(people.n, levels = c(1, 2), labels = c("male", "female"))
people.c.f <- factor(people.c, levels = c("male", "female"), labels = c("male", "female"))

# if you want to change the order of the levels, 
people.n.f <- factor(people.n, levels = c(2, 1), labels = c("female", "male"))

# levels follows alphabetical order if not specified
# compare this with people.c.f
factor(people.c)

# without specifying levels and labels
# the original data will be used
factor(people.n)

# once used to create a factor, levels and labels are merged.
# there is no labels attribute in factor.
# correct
levels(people.c.f)
levels(people.c.f) <- c("man", "woman")
people.c.f

#wrong
labels(people.c.f)
labels(people.c.f) <- c("man", "woman")

# sample data originally numbers

# 1 = male, 2 = female

people.n <- c(1, 1, 2, 2, 2)

people.c <- c("male", "male", "female", "female", "female")

# create a factor

people.n.f <- factor(people.n, levels = c(1, 2), labels = c("male", "female"))

people.c.f <- factor(people.c, levels = c("male", "female"), labels = c("male", "female"))

# if you want to change the order of the levels,

people.n.f <- factor(people.n, levels = c(2, 1), labels = c("female", "male"))

# levels follows alphabetical order if not specified

# compare this with people.c.f

factor(people.c)

# without specifying levels and labels

# the original data will be used

factor(people.n)

# once used to create a factor, levels and labels are merged.

# there is no labels attribute in factor.

# correct

levels(people.c.f)

levels(people.c.f) <- c("man", "woman")

people.c.f

#wrong

labels(people.c.f)

labels(people.c.f) <- c("man", "woman")

Conclusion By default, factor() order the levels alphabetical order or numerical order. If you want to change the sorting order of levels manually, you need to set it when the factor is created. It can

Object in R Factor can be used for sequ …

Object in R Factor can be used for sequence data. From sequence characters seq