Date Formats in R

Date Formats in R

To format the dates in R, you can use the “format()” function based on different specifications. Having your dates in the proper format allows R to know that they are dates and what calculations it should and should not perform on them. Date formats Conversion specification Description Example %a Abbreviated weekday Sun, Mon %A Full … Read more

How to Convert Date to Character in R

How to Convert Date to Character in R

Here are two ways to convert Date to Character in R: Using as.character() Using format() Method 1: Using as.character() dates <- c(“11/20/80”, “11/20/91”, “11/20/1993”, “09/10/93”) dt <- as.Date(dates, “%m/%d/%y”) strDates <- as.character(dt) strDates Output [1] “1980-11-20” “1991-11-20” “2019-11-20” “1993-09-10” Method 2: Using format() If you need to format the date in a specific way during … Read more

R arrange() Function from dplyr

R arrange() Function from dplyr

R arrange() function from the dplyr package is used to reorder the rows of a data frame or tibble based on the values of one or more columns. By default, this function sorts the dataframe in ascending order based on column values. Syntax arrange(.df, …, by_group=FALSE) Parameters .df: The data or table that we want … Read more

Understanding the as.factor() Function in R: Converting to Categorical Data

R as.factor() Function

Overview Before diving into the as.factor() function, let’s understand categorical data and why it is helpful in statistical analysis. Categorical data is data that is divided into groups and categories that are distinct from each other. For example, colors (red, green, blue), brands (Nike, Puma, Asics), or types of cuisine (Italian, Chinese, Indian) are categories. … Read more

How to Get Current Date and Time in R

How to Get Current Date and Time in R

Current Date To get the current date, you can use the “Sys.Date()” function. Sys.Date() Output [1] “2023-05-23″ Current Date and Time To get the current date and time, use the “Sys.time()” function. Sys.time() Output [1] “2023-05-23 22:13:24 IST” To get the system time in a fixed-format character string, use the “date()” function. date() Output [1] … Read more

How to Fix Error in R: non-numeric argument to binary operator

How to Fix Error in R: non-numeric argument to binary operator

The non-numeric argument to binary operator error occurs in R when you perform arithmetic operations(such as +, -, *, etc.) on non-numeric elements. To fix the error, you can use the “as.numeric()” function to convert the character to a numeric vector and perform the arithmetic operations on non-numeric elements. Reproduce the error a <- “21” b … Read more

How to Update R Using RStudio(For Windows, Mac and Linux)

How to Update R Using RStudio(For Windows, Mac and Linux)

To update R using RStudio, follow these steps: Install the installr package (Windows only) or use the updateR() function from the rstudioapi package (macOS and Linux). Run the appropriate function to update R. Restart RStudio. Please note that the installr package is available only for Windows. If you’re using macOS or Linux, you must update … Read more

How to Count NA Values in R

How to Count NA Values in R

To count NA (missing) values in R, use the is.na() function along with the sum() function. The is.na() function returns a logical vector with the same length as the input object, suggesting whether each element is NA. Then, you can use the sum() function to count the number of TRUE values in the logical vector, representing … Read more

How to Split Data into Training & Test Sets in R

How to Split Data into Training & Test Sets in R

Here are three ways to split data into training and test sets in R: Using sample() Using caTools package Using dplyr::anti_join() Method 1: Using sample() Load the required libraries (if not already loaded). Create the dataset (or load the dataset). Use the sample() function to generate a random subset of indices for the training set. … Read more

Understanding of rnorm() Function in R

What is rnorm() function in R

The rnorm() function in R is used to generate a vector of normally distributed random numbers, which are widely used in statistical simulations and data analysis. You can also use the set.seed() function before using rnorm() to ensure that the same set of random numbers is generated again. Visual Representation Syntax rnorm(n, mean, sd) Parameters Name Description … Read more