273 search results for "ANOVA"

R Tutorial Series: Basic Polynomial Regression

February 8, 2010
By
R Tutorial Series: Basic Polynomial Regression

Often times, a scatterplot reveals a pattern that seems not so linear. Polynomial regression can be used to explore a predictor at different levels of curvilinearity. This tutorial will demonstrate how polynomial regression can be used in a hierarchical fashion to best represent a dataset in R.Tutorial FilesBefore we begin, you may want to download the sample...

Read more »

R Tutorial Series: Basic Polynomial Regression

February 8, 2010
By
R Tutorial Series: Basic Polynomial Regression

Often times, a scatterplot reveals a pattern that seems not so linear. Polynomial regression can be used to explore a predictor at different levels of curvilinearity. This tutorial will demonstrate how polynomial regression can be used in a hierarchical fashion to best represent a dataset in R.Tutorial FilesBefore we begin, you may want to download the sample...

Read more »

R Tutorial Series: Hierarchical Linear Regression

January 15, 2010
By
R Tutorial Series: Hierarchical Linear Regression

Regression models can become increasingly complex as more variables are included in an analysis. Furthermore, they can become exceedingly convoluted when things such as polynomials and interactions are explored. Thankfully, once the potential independe...

Read more »

Latin squares design in R

January 6, 2010
By
Latin squares design in R

The Latin square design is used where the researcher desires to control the variation in an experiment that is related to rows and columns in the field.Remember that: * Treatments are assigned at random within rows and columns, with each treatment once per row and once per column. * There are equal numbers...

Read more »

Latin squares design in R

January 6, 2010
By
Latin squares design in R

The Latin square design is used where the researcher desires to control the variation in an experiment that is related to rows and columns in the field.Remember that: * Treatments are assigned at random within rows and columns, with each treatment once per row and once per column. * There are equal numbers...

Read more »

Multilevel and Longitudinal Modeling in Stata

December 22, 2009
By

For my "off-task" reading I recent perused an excellent book on multilevel and longitudinal modeling in Stata by Sophia Rabe-Hesketh and Anders Skrondal. The second edition (which I read) has been updated by including several chapters providing an over...

Read more »

got R? get social science for R!

December 19, 2009
By

Drew Conway has a great list of 10 must-have R packages for social scientists. If you’re a social scientist (or really, any kind of scientist) who doesn’t use R, now is a great time to dive in and learn; there are tons of tutorials and guides out there (my favorite is Quick-R, which is incredibly

Read more »

R examine objects tutorial

November 21, 2009
By
R examine objects tutorial

This article is quick concrete example of how to use the techniques from Survive R to lower the steepness of The R Project for Statistical Computing‘s learning curve (so an apology to all readers who are not interested in R). What follows is for people who already use R and want to achieve more control Related posts:

Read more »

Design of Experiments – Power Calculations

November 18, 2009
By

Prior to conducting an experiment researchers will often undertake power calculations to determine the sample size required in their work to detect a meaningful scientific effect with sufficient power. In R there are functions to calculate either a minimum sample size for a specific power for a test or the power of a test for

Read more »

Comments on "Ecological Statistics with R"

October 8, 2009
By
Comments on "Ecological Statistics with R"

Didrik Vanhoenacker has put together a site called Ecological Statistics with R.The site provides several resources useful to researchers who are new to R. It gives advice on installing R. It discusses how to use several standard techniques (ANOVA...

Read more »