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To set values in categorical column to numeric values in R data frame, we can use combine function c.For Example, if we have a data frame called df that contains a categorical column say C which has two categories as Low and High and if we want to represent these categories with 1 and 10 then we can use the below command −df$C
To add a caption in a ggplot2 graph in R, we can use labs function. For Example, if we have a data frame called df that contains two columns say X and Y and we want to create scatterplot between X and Y with a caption as a Note that says “Linear Relation Display” then we can use the below command −ggplot(df,aes(X,Y))+geom_point()+labs(caption="Note: Linear Relation Display")ExampleFollowing snippet creates a sample data frame −x
If we create histogram for multiple categories using ggplot2 then the legend is generated automatically based on the categories. And if we want to change that legend or create a histogram with different legend values having different colors for histograms then scale_fill_manual function can be used as shown in the below example.ExampleFollowing snippet creates a sample data frame −Height
To find the location of installed packages in R in windows operating system, we can use the command mentioned below −.libPaths()This will return the location of installed packages in the first line and the program files in the second line.Use the below mentioned code to find the location of installed packages in windows operating system −.libPaths() OutputIf you execute the given snippet, it generates the following Output −[1] "C:/Users/Nizam/Documents/R/win-library/4.0" [2] "C:/Program Files/R/R-4.0.4/library"Use the below mentioned code to find the location of installed packages in windows operating system −installed.packages()[1:20, ] OutputIf you execute all the above given snippets as a single ... Read More
To make all values in an R data frame unique, we can use make.unique function but firstly we would need to unlist the data frame values and read them with as.character. For Example, if we have a data frame called df that contains duplicate as well as nonduplicate values then we can make all the values unique by using the below command −df[]
Given an integer variable number as input. The goal is to calculate the sum of digits of the input number and check if that sum is prime or not. Do this till the obtained number with sum of digits becomes a single digit number. Check if that number is prime or not. If the input number is 123 than the sum of digits will be 1+2+3=6 which is non-prime and also 6 is a single digit number.Let us see various input output scenarios for thisInput − number=12341Output − Recursive sum of digits of a number is PRIMEExplanation −1+2+3+4+1=111+1=22 is a prime number.Input − ... Read More
To find the row corresponding to a nearest value in an R data frame, we can use which.min function after getting the absolute difference between the value and the column along with single square brackets for subsetting the row.To understand how it works, check out the examples given below.Example 1Following snippet creates a sample data frame −ID
The easiest way to find the frequency is to create a table for the provided vector or data frame column and it can be done with table function. But, if the frequency needs to be found with subsetting then subset function and transform function will also be required as shown in the below examples.Example 1Following snippet creates a sample data frame −head(ChickWeight, 20)OutputThe following dataframe is created − weight Time Chick Diet 1 42 0 1 1 2 51 2 1 1 3 59 4 1 1 4 ... Read More
Given two integers ‘number’ and ‘repeat’ as input. The goal is to calculate the sum of digits of the input number repeated ‘repeat’ number of times until the sum becomes a single digit. Do this till the obtained number with sum of digits becomes a single digit number. If the input number is 123 and repeat=2 than the sum of digits of 123123 will be 1+2+3+1+2+3=12 which is not a single digit number. Now the sum of digits of 12 is 1+2=3. Output will be 3Let us see various input output scenarios for thisInput − number=32 repeat=3Output − Recursive sum of digits ... Read More
When we have NAs present in the data frame or matrix then correlation matrix contains NA values. Now if we create the correlation matrix plot using corrplot function the Output display question marks.If we want to create the correlation matrix without question marks then we can use the na.label argument and set it to blank as shown in the below Example.ExampleFollowing snippet creates a sample matrix −M