R summary() Function

summary() Function in R

The summary() function in R returns the minimum value, first quartile (25th percentile), median (50th percentile), mean, third quartile (75th percentile), and maximum value. In real-life data sets, this is often one of the first functions applied after data importation or model fitting to get an initial understanding of the data or model results. To get … Read more

R rbind() Function

rbind() Function in R

The rbind() function in R is used to combine vectors, matrices, and data frames by rows. The objects being combined should have the same number of columns (or elements, in the case of vectors), and the columns should be of compatible types. Column names (or vector names) are matched by name, and any missing columns will … Read more

R cbind() Function

R cbind, short for column bind, is a function used to combine specified vectors, matrices, or data frames by columns. The objects being combined should have the same number of rows, and the rows should be of compatible types. Row names (or vector names) are matched by name, and any missing rows will be filled with NA. … Read more

How to Append Data Frames in R

Append Data Frames in R

Here are three ways to append data frames in R: Using rbind() Using dplyr::bind_rows() Using nrow() Method 1: Using rbind() This function is used to append all data from the second data frame at the end of the first data frame. Syntax rbind(a, b) Parameters The a is input data. The b is the data that needs to … Read more

R colSums() Function

colSums() Function in R

The colSums() function in R is used to calculate the sum of each column in a data frame or matrix. This function is helpful in summarizing data and for operations that involve column-wise computations. Syntax colSums(x, na.rm = FALSE) Parameters x: It is an array of two or more dimensions containing numeric, complex, integer, or … Read more

R rowMeans() Function

rowMeans() Function in R

R rowMeans() function is used to calculate the mean of each row of a data frame or matrix. Ensure that the object passed to rowMeans() is numeric or can be coerced to numeric. If it contains non-numeric columns, an error will occur. Syntax rowMeans(x, na.rm = FALSE) Parameters x: It is an array of two or … Read more

R colMeans() Function

colMeans() Function in R

The colMeans() function in R is used to calculate the mean of each column of a data frame or matrix. Syntax colMeans(x, na.rm = FALSE) Parameters x: It is an array of two or more dimensions containing numeric, complex, integer, or logical values or a numeric data frame. na.rm: It is a logical argument. If … Read more

R rowSums() Function

rowSums() Function in R

The rowSums() function in R is used to calculate the sum of values in each row of a data frame or matrix. This function is helpful for quickly summing up data across rows without having to write loops. Syntax rowSums(x, na.rm=FALSE) Parameters x: It is the name of the matrix or data frame. na.rm: It … Read more

R sample() Function

sample() Function in R

The sample() function in R is used to randomly sample elements from a vector or dataset. Syntax sample(data, size, replace = FALSE, prob = NULL) Parameters data: It is either a vector of one or more elements from which to choose or a positive integer. size: It is a non-negative integer giving the number of … Read more

R tryCatch() Function

tryCatch() Function in R

The tryCatch() function in R is a mechanism for handling errors and other conditions (like warnings or messages) that arise during code execution. It allows you to define custom behaviors when an error occurs instead of stopping the execution of the script. In tryCatch(), two ‘conditions’ can be handled: ‘warnings’ and ‘errors’. The important thing … Read more