Introduction
Reason #3: RStudio’s shiny
Examples
“Slow” Simulation
Understanding Model Assumptions
Types of Error
Illustrating Fine Points
Playing Games

Now that we have reached the milestone of 30,000 (!) enthusiastic R students, and the DataCamp platform is paving its way into academics and professional organizations, we felt it was time to take our design to a higher level. So as of this week, your favourite free learning platform for R tutorials and data science will have a totally new look and feel!

DataCamp first to offer free interactive R tutorials via the OpenIntro platform. In one week, the ten-week Coursera course on Data Analysis and Statistical Inference by prof. Mine Çetinkaya-Rundel of Duke University comes to an end. At DataCamp it was one of our first experiences providing interactive R exercises on a large scale, and we’re proud to say

(Generalized) Linear models make some strong assumptions concerning the data structure: Independance of each data points Correct distribution of the residuals Correct specification of the variance structure Linear relationship between the response and the linear predictor For simple lm 2-4) means that the residuals should be normally distributed, the variance should be homogenous across the

The new version of WrightMap (Ancillary Antelope) is now available on CRAN. Remember that you can visit the package tutorials on our website. This new version includes: - New function to create fit graphs like the example below. - Parameter conversion: Function for calculating Thurstonian thresholds from Master’s deltas. - New examples. - Added axis range controls. - Made histogram...

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