Independent-Samples t-test in R | Using the ttest Function from lessR скачать в хорошем качестве

Independent-Samples t-test in R | Using the ttest Function from lessR

Correction [22:49]: When describing how to interpret the results of Levene's test of equal variances, there is a typo. Lines 39-42 of the annotated script should read (note the change in all CAPS): "If, however, the p-value is equal to or GREATER than .05, then we fail to reject the null hypothesis and assume that the variances are equal (i.e., variances are homogenous)." Note [35:15]: For the lessR BarChart, the following argument now needs to be added to request the means of the outcome level for each group: stat="mean" This tutorial demonstrates how to estimate an independent-samples t-test using the ttest function from the lessR package in R. An independent-samples t-test is sometimes referred to as a two-samples or between-subjects t-test. I also demonstrate how to plot the results of a independent-samples t-test using a bar chart (which is a type of data visualization display) and specifically the BarChart function from the lessR package. Other videos from my "R for Beginners" playlist can be found here:    • R for Beginners  . The videos in this playlist focus on simulated human resources (HR) data. The data file(s) referenced in this R tutorial (and other R tutorials on this playlist) can be downloaded as a compressed (zipped) folder by visiting the following link: https://github.com/davidcaughlin/R-Tu.... Click "Clone or Download" followed by "Download ZIP".