Statistics with R – Beginner Level: Basic statistical analyses using the R program
- 4.4 (994 ratings)
- 59,961 students enrolled
- Created by Bogdan Anastasiei
- Last updated 3/2016
If you would like to find out the way to perform the essential statistical analyses within the R program, you’ve got come to the proper place.
Now you don’t need to scour the online endlessly so as to seek out the way to compute the statistical indicators in R, the way to build a cross-table, the way to build a scatterplot chart or the way to compute an easy statistical test just like the one-sample t test. Everything is here, during this course, explained visually, step by step.
So, what will you learn in this course?
First of all, you’ll find out how to control data in R, to organize it for the analysis: the way to filter your data frame, the way to recode variables and compute new variables.
Afterwards, we’ll lookout about computing the most statistical figures in R: mean, median, variance , skewness, kurtosis etc., both within the whole population and in subgroups of the population.
Then you will learn how to visualize data using tables and charts. So we’ll build tables and cross-tables, also as histograms, cumulative frequency charts, column and mean plot charts, scatterplot charts and boxplot charts.
Since assumption checking may be a vital a part of any statistical analysis, we couldn’t elude this subject . So we’ll learn how to check for normality and for the presence of outliers.
Finally, we’ll perform some basic, one-sample statistical tests and interpret the results. I’m talking about the one-sample t test, the binomial test and therefore the chi-square test for goodness-of-fit.
So after graduating this course, you’ll skill to perform the essential statistical procedures within the R program. So… enroll today!
2 days left at this offer!
Coupon Code: RSTATSNOCOST3D