Publications by R on Stats and R
Wilcoxon test in R: how to compare 2 groups under the non-normality assumption
Introduction 2 different scenarios Independent samples Paired samples Introduction In a previous article, we showed how to compare two groups under different scenarios using the Student’s t-test. The Student’s t-test requires that the distributions follow a normal distribution1. In this article, we show how to compare two groups when the nor...
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Outliers detection in R
Introduction Descriptive statistics Minimum and maximum Histogram Boxplot Percentiles Hampel filter Statistical tests Grubbs’s test Dixon’s test Rosner’s test Additional remarks Reference Introduction An outlier is a value or an observation that is distant from other observations, that is to say, a data point that differs significantly f...
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Outliers detection in R
Introduction Descriptive statistics Minimum and maximum Histogram Boxplot Percentiles Hampel filter Statistical tests Grubbs’s test Dixon’s test Rosner’s test Additional remarks Introduction An outlier is a value or an observation that is distant from other observations, that is to say, a data point that differs significantly from other ...
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Mortgage calculator in R Shiny
Introduction Mortgage calculator How to use the mortgage calculator? Code of the app Introduction I recently moved out and bought my first apartment. Of course, I could not pay it entirely with my own savings, so I had to borrow money from the bank. I visited a couple of banks operating in my country and asked for a mortgage. If you already boug...
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Mortgage calculator in R Shiny
Introduction Mortgage calculator How to use the mortgage calculator? Code of the app Introduction I recently moved out and bought my first apartment. Of course, I could not pay it entirely with my own savings, so I had to borrow money from the bank. I visited a couple of banks operating in my country and asked for a mortgage. If you already boug...
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Graphics in R with ggplot2
Introduction Data Basic principles of {ggplot2} Create plots with {ggplot2} Scatter plot Line plot Combination of line and points Histogram Density plot Combination of histogram and densities Boxplot Barplot Further personalization Title and axis labels Axis ticks Log transformations Limits Legend Shape, color, size and transparency Text and labe...
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Graphics in R with ggplot2
Introduction Data Basic principles of {ggplot2} Create plots with {ggplot2} Scatter plot Line plot Combination of line and points Histogram Density plot Combination of histogram and densities Boxplot Barplot Further personalization Labels Axis ticks Log transformations Limits Legend Shape, color, size and transparency Smooth and regression lines ...
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Why do I have a data science blog? 7 benefits of sharing your code
#1 Learn by writing #2 Get feedback #3 Personal note to remind my future self #4 Contribute to the open source community #5 Stay humble, stay curious #6 Learn to be less perfectionist and to prioritize #7 Build connections and professional relationships How to start your own blog? My blog statsandr.com was launched in December 2019. Although 9 m...
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ANOVA in R
Introduction Data Aim and hypotheses of ANOVA Underlying assumptions of ANOVA Variable type Independence Normality Equality of variances – homogeneity Another method to test normality and homogeneity ANOVA Preliminary analyses ANOVA in R Interpretations of ANOVA results What’s next? Post-hoc test Issue of multiple testing Post-hoc tests in ...
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ANOVA in R
Introduction Data Aim and hypotheses of ANOVA Underlying assumptions of ANOVA Variable type Independence Normality Equality of variances – homogeneity Another method to test normality and homogeneity ANOVA Preliminary analyses ANOVA in R Interpretations of ANOVA results What’s next? Post-hoc test Issue of multiple testing Post-hoc tests in ...
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