R programming language is used for statistical computing, data analysis, machine learning, and graphics.
R is a very popular language and used by data analysts, statisticians, programmers to perform data analysis, data manipulation, calculation, data visualization.
Use the data.frame() function in R to create a data frame from vectors. The data frame in R is a two-dimensional array or table where each row contains the value of each column and the column contains the value for each variable. It can contain heterogeneous data. Vectors in R …
Using the write.csv function in base R, it can export a data frame to a CSV file. The write.csv function takes data frame and path of export to CSV file as the input parameters. Use the following syntax to write a data frame to the CSV file. R language provides …
data.matrix() and as.matrix() functions in R is used to convert a data frame to matrix. The data.matrix() function converts all data frame variables to numeric and displays them as columns of the matrix. The as.matrix() is a generic function and returns a character matrix. In this tutorial, we will discuss …
R is.data.frame() function is used to check if the object is a data frame or not. is.data.frame() function in R returns TRUE if the object is data frame else returns FALSE. Data frame in R is very powerful to store data of different data types, data manipulation. data.frame() function is …
Selecting columns from the data frame in R is very important when we have to analyze large data set. Using the dplyr package select() function, we can select specific columns by column name or column index. Using the base R, we can select specific columns from the data frame using …
Using the $ operator or square bracket, we can add a column to a data frame. We can create vector data and add it as a column to a data frame. Use the add_column function in the tibble package to add a new column or append vector to a data …
Data frame in R stores heterogeneous data types in the format of tabular forms. It is a list of vectors of equal length. Converting a list to a data frame provides more insight to analyze the tabular format of data. The as.data.frame() function in R is used to create a …
Merge data frames are quite useful when data is available in different data stores. The combining of data frames in R gives more insights to perform analysis of the dataset. Using merge() , rbind() functions, we can merge data frames in R. merge() is a built-in R function that merges …
Using the order() function in R, sort data frame by column. order() function as default sorts the data in ascending order. However using the minus (-) sign before the column, we can sort data frame by column in descending order. We can use the order() function to sort a data …
Using the square bracket with conditional selection in the data frame, you can subset the data frame in r and extract the observations you would like to keep or exclude. You can also subsetting the data frame in r using the subset() function in R. In this tutorial, we will …