Join Barton Poulson for an in-depth discussion in this video Using R in SPSS, part of SPSS Statistics Essential Training.
- SPSS has a very strong history…in the social and behavioral sciences.…That actually is where it gets its name from.…It used to be Statistical Package for the Social Sciences.…But it's used in a number of other industries as well.…On the other hand, the Statistical Programming Language art,…has grown exponentially in popularity and in capabilities.…One of the really neat things is that SPSS…now allows you to integrate R's functionality…into the SPSS environment.…I'm gonna show you how to do that.…
This is a little bit complicated.…We have to download a few extra things.…But it can really be worthwhile to get…the extra capabilities and functions of R.…I'm gonna start by first going up to Help…and just clicking on this item right here: Working With R.…And what this does is it opens up…the browser-based help menu.…And I'm actually gonna come over here…to Integration Plug-in for R Help.…And it's gonna tell us two things that we need to do.…The first thing is actually listed last here.…
You need to install R onto your computer.…
Author
Barton Poulson
Released
11/17/2014- Build charts, scatterplots, and box plots
- Calculate descriptive statistics such as means and standard deviations
- Use inferential statistics such as t-tests and chi-squares
- Enter and read data
- Create new variables and crosstabulations
- Model associations with correlations, contingency tables, and multiple-regression analysis
- Format and export presentations to share your data
Plus, learn how to extend the power of SPSS with Python and R. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work.
Skill Level Beginner
Duration
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Introduction
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Welcome1m 17s
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1. Getting Started
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Touring the interface7m 48s
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Setting options5m 17s
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Getting help2m 52s
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Using the built-in data sets2m 22s
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2. Charts for One Variable
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3. Modifying Data
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Recoding variables6m 49s
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Reversing values with syntax6m 56s
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Creating dummy variables3m 19s
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Recoding with Visual Binning5m 32s
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Computing new variables6m 52s
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Automatic data preparation3m 46s
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4. Working with the Data File
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Selecting cases5m 8s
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Splitting files3m 57s
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5. Descriptive Statistics for One Variable
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6. Inferential Statistics for One Variable
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7. Charts for Associations
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Side-by-side boxplots3m 34s
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Scatterplots4m 33s
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Scatterplots by groups2m 59s
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3D scatterplots3m 16s
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Scatterplot matrices3m 32s
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Heat maps3m 23s
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Choropleth for one variable4m 54s
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Choropleth for two variables3m 28s
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8. Statistics for Associations
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Correlation5m 23s
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Bivariate regression6m 46s
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Multiple regression10m 20s
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Automatic Linear Modeling5m 45s
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9. Sharing Results
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Exporting charts and tables4m 24s
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Web reports2m 33s
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The Smartreader3m 23s
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10. Extending SPSS
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Using Python in SPSS4m 40s
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Using R in SPSS10m 2s
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Conclusion
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Next steps1m 23s
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Video: Using R in SPSS