![]() Usually the numbers will be typed into Excel, then exported as a CSV file that can be read in by R. It would be pretty dumb and annoying to have to type your data into the script like we've done here. Compare the values of t, df, and P that are given to the values in the example. You will see each step of the script in the Console pane in blue, followed by the output of that step (if any) in black. ![]() To run the script, highlight it in the Source Editor, then click on the Run button. Instead, go to this GitHub Gist raw file page, copy, and paste the test into the Source Editor pane. Unfortunately, copying this script from here includes invisible bad characters. The test does not do anything with the first column "group", so it is ignored. This differs from the arguments used for a t-test of means. Notice that in this script, we specify the columns to be used in the test by listing the name of the table ("Data"), followed by a dollar sight ("$"), then the name of the column (e.g. DON'T try to paste this script into RStudio ! Read on for the reason why! Also, you will want to get these data from a file, so read the next section to see how!ĭata = read.table(textConnection(Input),header=TRUE) The following script shows how to run a paired t-test using the data from the example. Link to the full guide in the BSCI 111a course guide.Scientific Literature Guide Toggle Dropdown.5 Reporting the Results of a Statistical Test.3.2 ANOVA with more than two treatment groups.3.1 ANOVA basics with two treatment groups.2.6 Conducting a chi-squared contingency test using R.2.4 Conducting a chi squared contingency test using Excel.2 Joint probability and the Chi Squared Contingency test. ![]()
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