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R Tutorial and Statistics Tutorial (All Videos) | MarinStatsLectures

R Programming for Beginners and Intro Statistics Concepts Tutorials.

How to use R Stats Software for beginners along with tutorials for the various concepts in statistics: A comprehensive set of tutorials for everyone!

The R tutorials discuss topics such as downloading and installing R and RStudio, importing data into R, exporting data out of R, getting started working with R (logic statements, vectors, matrices, working directories, scripts, packages in R, apply and tapply functions in R), descriptive statistics in R (producing plots in R and creating summaries in R), bivariate hypothesis testing using R software both parametric and non-parametric (paired and independent t-test in R, analysis of variance (ANOVA) in R, the chi-square test of independence in R, relative risks and odds ratios in R, correlation in R, simple linear regression in R, along with the non-parametric equivalents for all of these), probability distribution in R (calculating probabilities using probability densities (f(x)) and probability distributions (F(x)), finding quantiles of a distribution and taking random samples from a distribution and discussing Binomial distribution in R, Poisson distribution in R, Normal distribution in R and t Distribution in R , and Linear regression in R( such as linear regression model in R and how to check the model assumptions, multiple linear regression in R, changing numeric variable to categorical variable in R, dummy or indicator variables in R, how to change the reference or baseline category for a categorical variable in regression model in R, examples on categorical variables in regression model, multiple linear regression with interaction, interpreting interactions in linear regression, variable selection in linear regression using partial F-test and polynomial regression. These videos are intended to pair well with an introductory statistics course.

Statistics tutorials series explain the topics covered in most intro statistics courses thoroughly while using easy to follow examples. These tutorials cover topics such as standard deviation, normal distribution, standard error of the mean, confidence interval, hypothesis testing, t-distribution, margin of error, bootstrapping, type I and type II errors, bivariate analysis, paired t-test, Wilcoxon signed-rank test, ANOVA, Chi Square test, Risk Ratio and Odds Ratio, Simple Linear Regression, R Square, Permutation tests and more.

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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer: Ladan Hamadani (B.Sc., BA., MPH)

These #IntroductoryStatistics videos and #RTutorials are created by #marinstatslectures to support a course at The University of British Columbia (UBC) (SPPH400: for Health Science Research), although we make all videos available to the public for free.
R Programming for Beginners and Intro Statistics Concepts Tutorials.

How to use R Stats Software for beginners along with tutorials for the various concepts in statistics: A comprehensive set of tutorials for everyone!

The R tutorials discuss ...
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