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Articles by Nizamuddin Siddiqui
Page 36 of 196
How to hide outliers in base R boxplot?
To hide outliers in base R boxplot, we can use range argument inside boxplot function but we will have to play with range argument. The range argument can take many values therefore, we would need to find the correct one that removes all the outliers. To understand how it works check out the Example given below −ExampleTo hide outliners in base R boxplot, use the following snippet −x
Read MoreHow to remove line numbers from data.table object in R?
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 create an object use the following snippet to create a data frame −library(data.table) x1
Read MoreFind the value in an R data frame column that exist n times.
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 creates a sample data frame −x
Read MoreHow to round matrix values in R?
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
Read MoreHow to display numbers with decimal in R data frame column?
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 the below command −df$X
Read MoreChange the decimal point of every value in an R data frame column.
To change the decimal point of every value in an R data frame column, we can use round function.For Example, if we have a data frame called df that contains a column say X and we want to have each value with 3 decimal places then we can use the below command −df$X
Read MoreWhy Output of mean of normal random variable created using rnorm equals to 10 is not 10 in manual calculation with R?
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 understand the variation in the Outputs as the sample size increases.ExampleThe variation in the Outputs of mean of normal random variable created by using rnorm as the sample size increases is explained below −mean(rnorm(100, mean=10)) mean(rnorm(100, mean=10)) mean(rnorm(100, mean=10)) mean(rnorm(100, mean=10)) mean(rnorm(100, mean=10)) mean(rnorm(100, mean=10)) mean(rnorm(100, mean=10)) mean(rnorm(1000, mean=10)) mean(rnorm(1000, ...
Read MoreFind the missing numbers in a sequence in R data frame column.
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 we can use the below command −setdiff(1:20,df$X)Example 1Following snippet creates a sample data frame −x
Read MoreHow to extract columns having at least one non-duplicate in R?
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 at least one non-duplicate by using the below command −Filter(var,df)Example 1Following snippet creates a sample data frame −x1
Read MoreCreate bar plot for grouped data of two columns in base R.
To create bar plot for grouped data in base R, we can create the table for both the columns and then use beside argument of barplot function to create the bar plot. To differentiate between the bars, we need to set legend argument to TRUE as well. To understand how it can be done check out the below Example.ExampleFollowing snippet creates a sample data frame −G
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