In this post we are going to perform an analysis of variance (ANOVA) with R in order to analyze the influences of different variables such as race, education level or job class in the wage. The data is the same as in the post Descriptive Analysis with R, so you can visit that post in order to get more detail about the data used. Let’s start the analyis. Discussion By means of ANOVA we have

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## Inferential analysis in R

This post continues the analysis of the Mid-Atlantic Wage dataset by performing some inferential statistics with language R. The data used is the same as in the post about Descriptive Analysis with R. We start reading the dataset and performing the transformations described in that article:

Continue reading## Descriptive analysis in R

This post shows an easy descriptive statistical analysis exercise of the Mid-Atlantic Wage Data showing some boxplots and checking for data normality. The dataset can be found here: https://github.com/selva86/datasets/blob/master/Wage.csv The fields in the data are the following: year: Year when the data was collected. maritl: marital status: 1. Never Married, 2. Married, 3. Widowed, 4. Divorced, and 5. Separated. age: worker’s age. race: 1. White, 2. Black, 3. Asian, and 4. Other. education: Education level:

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