Statistics with R – Beginner Level
Basic statistical analyses using the R program
What you’ll learn
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manipulate data in R (filter and sort data sets, recode and compute variables)
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compute statistical indicators (mean, median, mode etc.)
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determine skewness and kurtosis
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get statistical indicators by subgroups of the population
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build frequency tables
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build cross-tables
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create histograms and cumulative frequency charts
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build column charts, mean plot charts and scatterplot charts
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build boxplot diagrams
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check the normality assumption for a data series
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detect the outliers in a data series
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perform univariate analyses (one-sample t test, binomial test, chi-square test for goodness-of-fit)
Requirements
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R and R studio
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knowledge of basic statistics
Who this course is for:
- students
- PhD candidates
- academic researchers
- business researchers
- University teachers
- anyone looking for a job in the statistical analysis field
- anyone who is passionate about quantitative analysis
