To check if a matrix has any missing value in R, we can use any function along with is.na function.For Example, if we have a matrix called M then we can use the below command to check whether M contains any missing value or not −any(is.na(M))Example 1Following snippet creates a ... Read More

To remove line numbers from data.table object in R, we can set row.names to FALSE and print the data.table object.For Example, if we have a data.table object called DT then we can remove line numbers from DT by using the command given below −print(DT, row.names=FALSE)Example 1To load data.table object and ... Read More

To create stacked bar plot for one categorical variable in an R data frame, we can use ggplot function and geom_bar function of ggplot2 and provide 1 as the X variable inside aes.For Example, if we have a data frame called df that contains a one categorical column say C ... Read More

To find the value in an R data frame column that exist n times, we first need to tabulate the column with factor then extracting the levels of the column after that reading them with as.numeric.Check out the Examples given below to understand how it can be done.Example 1Following snippet ... Read More

To round matrix values, we can use round function.For Example, if we have a matrix called M and we want to round the value in M to 2 decimal places by using the below command −M

To display numbers with decimal in R data frame column, we can use format function with round function and nsmall argument.For Example, if we have a data frame called df that contains an integer column say X then we can display numbers in X with 2 decimal places by using ... Read More

To change the decimal point of every value in an R data frame column, we can use round function.For Example, if we have a data frame called df that contains a column say X and we want to have each value with 3 decimal places then we can use the ... Read More

When we find the mean of normal random variable which is created with rnorm(“sample_size”, 10) is not 10 because rnorm will create a random variable hence mean will be changed but as we increase the sample size the mean will become closer to 10.Check out the Examples given below to ... Read More

To find the missing numbers in a sequence in R data frame column, we can use setdiff function.For Example, if we have a data frame called df that contains a column say X and we want to check which values between 1 to 20 are missing in this column then ... Read More

To extract columns from an R data frame having at least one non-duplicate, we can use Filter function.For Example, if we have a data frame called df that contains some columns having duplicate values and columns that do not contains at least one non-duplicate then we can extract columns having ... Read More