Most multivariate techniques, such as Linear Discriminant Analysis (LDA), Factor Analysis, MANOVA and Multivariate Regression are based on an assumption of multivariate normality. So, In this post, I am going to show you how you can assess the multivariate normality for the variables in your sample. The above test multivariate techniques can be used in a sample only when the …

In the below tutorial I have explained how you can generate Even or Odd numbers using R. You can generate using any one of the following methods. Method 1:Generating even numbers that lie between 1 to 100 even <- seq(1,100,2)Method 2:Generating 100 odd numbers starting from 1 odd <- seq(1,by=2, len=100) Subscribe to …

R is a powerful programming package that can perform many wonders with data analytics. The open platform gives the opportunity to develop package packages and share it with the world. Such that recently I created a package for calculating Income Tax in India. The name of the package is IndianTaxCalc. Using this package, you can calculate Income Tax liability …

R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. It is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and studies of scholarly literature databases show that R’s popularity has increased substantially in …

Here I present some simple commands that can be used in R. Share and Subscribe to Sulthan Academy via Email for more interesting updates. Share with your friends. Thank you. You can download the PDF Commands Purpose help() Obtain documentation for a given R command example() View some examples on the use of a command c(), scan() Enter data manually to a …

In this post I will explain you how to calculate basic descriptive statistics using R. The following R scripts helps to calculate descriptive statistics such as Mean, Median, Mode, Standard deviation, Standard error of the mean,Five-number summary, quartiles, percentiles, skewness and kurtosis. Packages used are psych and Desctools ##Descriptive statistics using R## (www.iamsulthan.in) ##Packages used psych and Desctools ##Following commands …

R is very useful for data analysis but it surely need some programming skills. The one solid reason why analyst prefer r is its availability and flexibility with packages. The count of packages in CRAN is increasing day by day and it already consist of more than 4000 packages from Biometrics to Econometrics. Its really very hard to remember syntax …