So, you want to become an R Shiny Developer? You’re at the right place. We’re Appsilon — An industry leader building the world’s most advanced R Shiny applications for Fortune 500 companies — and this article will summarize everything you need to start a career in R and Shiny. Make ...

A one-sample t-test is used to see if the mean of a population from which a sample was taken differs statistically from a hypothesised value. The null hypothesis in a t-test is that the population mean is equal to the… The post One Sample T-test in R appeared first on ...

The Pearson correlation coefficient, sometimes known as Pearson’s r, is a statistic that determines how closely two variables are related. Its value ranges from -1 to +1, with 0 denoting no linear correlation, -1 denoting a perfect negative linear correlation,… The post Pearson correlation in R appeared first on Statistical Aid: ...

A chi-square test is used to analyze nominal (sometimes known as categorical) data. It is pronounced kai and is frequently written as a χ2 test. It’s used to compare the observed frequencies in each sample’s response categories. The null hypothesis… The post Chi-Square test using R appeared first on ...

Introduction Using Mapbox is a wonderful way to create beautiful maps with leaflet. In my last blog, I spoke about reverse engineering Atlas.co and how to create maps that are similar to the maps produced there. After a bit of Googling I was lead to this post where I ...

A brief tutorial encompasing the use of DOE Maker, a web application in R made with Shiny.   The purpose of this post is present a brief tutorial about how to install and use DOE Maker, and it does not cover concepts or theoretical aspects about des...

Photo by Liliane Limpens on Unsplash Data scientists are hungry for every bit of data they can use in their work. Security teams, on the other hand, are primarily concerned with making sure that data stays put and no one ever gets access without auth...

I started dabbling in crypto trading on Binance at the beginning of September 2021. I am really impressed with the interface, which is smooth and full featured (if perhaps a little complicated and confusing!). One of the things that has frustrated me though is not being able to get an idea ...

How do you determine sample size when the goal of a study is not to conduct a null hypothesis test but to provide an estimate of multiple effect sizes? I needed to get a handle on this for a recent grant submission, which I’ve been writing about ov...

Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Visit finnstats.com for up-to-date and accurate lessons...

Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Visit finnstats.com... The post Simple Linear Regression in r appeared first on finnstats.

It can be difficult running an R user group in a country where R does not have a large following. R Consortium talked with Francis Mensah, who runs the R... The post R Accra Talks About Expanding R in Ghana appeared first on R Consortium.

Analysis of Variance in R, You will be able to identify reasons for employing an Analysis of Variance (or ANOVA) test in your data analysis after completing this tutorial. You’ll also learn how to analyze the findings of an ANOVA f-test. L...

Analysis of Variance in R, You will be able to identify reasons for employing an Analysis of Variance (or ANOVA) test in your data analysis after completing this tutorial. You’ll also learn how to... The post Analysis of Variance in R: 3 Steps appeared first on finnstats.

Grouping Data in R, You’ll learn the fundamentals of grouping and how to utilize it to transform and visualize a dataset in this tutorial. Think about the flight delays in the airline dataset that we discussed in the previous post. We want to...