Write 0 1 for Un N0 1n Elements of 0 1 are called words and
Solution
Ans-
The subset( ) function is the easiest way to select variables and observations. In the following example, we select all rows that have a value of age greater than or equal to 20 or age less then 10. We keep the ID and Weight columns.
# using subset function
newdata <- subset(mydata, age >= 20 | age < 10,
select=c(ID, Weight))
In the next example, we select all men over the age of 25 and we keep variables weight through income (weight, income and all columns between them).
# using subset function (part 2)
newdata <- subset(mydata, sex==\"m\" & age > 25,
select=weight:income)
Random Samples
Use the sample( ) function to take a random sample of size n from a dataset.
# take a random sample of size 50 from a dataset mydata
# sample without replacement
mysample <- mydata[sample(1:nrow(mydata), 50,
replace=FALSE),]
