The R project, based upon the S and S+ stats packages, has developed an extremely powerful set of "packages" that operate within one program.
Both are available for Windows and Unix/Linux systems R, in addition, runs on Macintoshes." From John Fox's short course on S and R. The S language has two major implementations: the commercial product S-PLUS, and the free, open-source R. It has been claimed that "The statistical programming language and computing environment S has become the de-facto standard among statisticians. (For the impatient, an even briefer guide to analyzing data for personality research is also available.) I hope that enough information is provided in this brief guide to make the reader want to learn more. This is not meant as a user's guide to R, but merely the first step in guiding people to helpful tutorials. This set of brief notes describes an alternative approach that is widely used by practicing statisticians, the statistical environment R. When teaching statistics or communicating results to others, it is helpful to use examples that may be used by others using different computing environments and perhaps using different software. Although convenient to use, GUI based operations are difficult to discuss in written form. These programs are also very expensive and limited in what they can do. These programs have GUIs (Graphical User Interfaces) that are relatively easy to use but that are unique to each package. Some of the more common packages used are Systat, SPSS, and SAS.
They differ in multiple ways, at least some of which are ease of use, generality, and cost.
There are many possible statistical programs that can be used in psychological research. Get the definitive Introduction to R written by members of the R Core Team. In addition, a short guide to data analysis in a research methods course offers some more detail on graphing. (For two very abbreviated, and very out of date, forms of this guide meant to help students do basic data analysis in a personality research course, see a very short guide. I recommend the tutorials or the various short courses. This page has been lightly edited in September 2020, but is generally very out of date. Much of material has also covered been covered in number of short courses or in a set of tutorials for specific problems.
This is one page of a series of tutorials for using R in psychological research. calculating the mean can only be done on quantitative data) then only columns of that data type will be available to use for those operations.Using R for psychological research A simple guide to an elegant language If the operation you conduct in Minitab only functions on a certain variable type (e.g. Otherwise, Minitab recognizes the data as quantitative. Those columns with the ‘-T’ indicate that the data in this column are considered text or categorical data. With the data from the Excel spreadsheet file into your Minitab worksheet window, you should notice that all columns are labeled ‘Cx’ where the ‘x’ is a number. First, we obtain some basic descriptive statistics. With the data in the Minitab worksheet, you can then perform any number of procedures. Double click the file and the data should open in the Minitab worksheet (the window that looks similar to an Excel spreadsheet).In the ‘Look In’ field use the drop down arrow to locate the saved Excel data file.In the ‘Files of Type’ field click the drop down arrow and select Excel.Open Minitab, then using the Minitab menus at the top of the application, select the option: Save the file locally (if using Minitab installed on the computer you are using) or save the file in your PASS space if using WebApps.
Loading Data into Minitab from an Excel Fileįor the examples in this section, download the minitabintrodata.xlsx spreadsheet file.
First, we saw previously how you can enter data into the Minitab worksheet by hand, we will now walk through how to load a dataset into Minitab from an Excel file. Some of the examples below are repeats of what we did by hand in earlier lessons while others are new. Let's perform some basic operations in Minitab.