Hits: 22 (R Tutorials for Citizen Data Scientist) Beginners tutorial with R – Loops There may be a situation when you need to execute a block of code several number of times. In general, statements are executed sequentially. The first statement in a function is executed first, followed by the second, and so on. …

Hits: 20 (R Tutorials for Citizen Data Scientist) Beginners tutorial with R – Decision making Decision making structures require the programmer to specify one or more conditions to be evaluated or tested by the program, along with a statement or statements to be executed if the condition is determined to be true, and optionally, other statements …

Hits: 16 (R Tutorials for Citizen Data Scientist) An operator is a symbol that tells the compiler to perform specific mathematical or logical manipulations. R language is rich in built-in operators and provides following types of operators. Types of Operators We have the following types of operators in R programming − Arithmetic Operators Relational …

Hits: 2 (R Tutorials for Citizen Data Scientist) A variable provides us with named storage that our programs can manipulate. A variable in R can store an atomic vector, group of atomic vectors or a combination of many Robjects. A valid variable name consists of letters, numbers and the dot or underline characters. The …

Hits: 12 (R Tutorials for Citizen Data Scientist) Beginners tutorial with R – Data Types Generally, while doing programming in any programming language, you need to use various variables to store various information. Variables are nothing but reserved memory locations to store values. This means that, when you create a variable you reserve some …

Hits: 18 (R Tutorials for Citizen Data Scientist) As a convention, we will start learning R programming by writing a “Hello, World!” program. Depending on the needs, you can program either at R command prompt or you can use an R script file to write your program. Let’s check both one by one. R …

Hits: 159 (R Tutorials for Business Analyst) In this end-to-end example, you will know how to use ANOVA in R with examples. R ANOVA Tutorial: One way & Two way with Examples What is ANOVA? Analysis of Variance (ANOVA) is a statistical technique, commonly used to studying differences between two or more group means. ANOVA test …

Hits: 61 (R Tutorials for Business Analyst) In this end-to-end example, you will know how to use T test in R with examples. T Test in R: One Sample and Paired with Example What is Statistical Inference? Stastitical inference is the art of generating conclusions about the distribution of the data. A data scientist is …

Hits: 233 (R Tutorials for Business Analyst) In this end-to-end example, you will know how to use R graphics for Bar chart and Histogram plot with examples. Bar Chart & Histogram in R with Example A bar chart is a great way to display categorical variables in the x-axis. This type of graph denotes two …

Hits: 61 (R Tutorials for Business Analyst) In this end-to-end example, you will know how to use R graphics for Boxplot plots with examples. How to make Boxplot in R with Examples You can use the geometric object geom_boxplot() from ggplot2 library to draw a box plot. Box plot helps to visualize the distribution of the …

Hits: 33 (R Tutorials for Business Analyst) In this end-to-end example, you will know how to use R graphics for scatter plots. Scatter Plot in R using ggplot2 with Example Graphs are the third part of the process of data analysis. The first part is about data extraction, the second part deals with cleaning and manipulating the …

Hits: 29 (R Tutorials for Business Analyst) In this end-to-end example, you will know how use select, filter, arrange and pipeline function in R and summarise a dataset to get the descriptive statistics. R Select(), Filter(), Arrange(), Pipeline with Example In this tutorial, you will learn select() Filter() Pipeline arrange() The library called dplyr contains …

Hits: 21 (R Tutorials for Business Analyst) In this end-to-end example, you will know how we can use aggregate function in R and summarise a dataset to get descriptive statistics. R Aggregate Function: Summarise & Group_by() Summary of a variable is important to have an idea about the data. Although, summarizing a variable by group …

Hits: 67 (R Tutorials for Business Analyst) In this end-to-end example, you will know how we can calculate correlation in R, especially Pearson and Spearman correlation coefficient. Correlation in R: Pearson & Spearman with Matrix Example A bivariate relationship describes a relationship -or correlation- between two variables, and . In this tutorial, we discuss the …

Hits: 49 (R Tutorials for Business Analyst) In this end-to-end example, you will know how we can export a dataset to excel, csv, SAS, STATA and TEXT file in R. It is important to know this exporting process because we can upload or import these formatted file to their respective software to do further processing …

Hits: 47 (R Tutorials for Business Analyst) In this end-to-end example, you will find how we can replace missing values i.e. NA in R. NA can be appeared in the dataset when there is no particular value recorded for that particular field. It is important to replace such NA values in the dataset before starting …