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R Data Visualization Cookbook
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Once we have generated a data and converted it into a data frame, we can edit any row or column of a data frame.
We can add or extract any column of a data frame using the dollar ($) symbol, as depicted in the following code:
data = data.frame(x = c(1:4), y = c("tom","jerry","luke","brian"))
data$age = c(2,2,3,5)
dataIn the preceding example, we have added a new column called age using the $ operator. Alternatively, we can also add columns and rows using the rbind() and cbind() functions in R as follows:
age = c(2,2,3,5) data = cbind(data, age)
The cbind and rbind functions can also be used to add columns or rows to an existing matrix.
To remove a column or a row from a matrix or data frame, we can simply use the negative sign before the column or row to be deleted, as follows:
data = data[,-2]
The data[,-2] line will delete the second column from our data.
To re-order the columns of a data frame, we can type the following lines in the R command window:
data = data.frame(x = c(1:4), y = c("tom","jerry","luke","brian"))
data = data[c(2,1)]# will reorder the columns
dataTo view the column names of a data frame, we can use the names() function:
names(data)
To rename our column names, we can use the colnames() function:
colnames(data) = c("Number","Names")
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