277 search results for "ANova"

got R? get social science for R!

December 19, 2009
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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

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R examine objects tutorial

November 21, 2009
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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:

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Design of Experiments – Power Calculations

November 18, 2009
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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

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Comments on "Ecological Statistics with R"

October 8, 2009
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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...

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Power Analysis for mixed-effect models in R

September 18, 2009
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Power Analysis for mixed-effect models in R

The power of a statistical test is the probability that a null hypothesis will be rejected when the alternative hypothesis is true. In lay terms, power is your ability to refine or "prove" your expectations from the data you collect. The most frequent...

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Power Analysis for mixed-effect models in R

September 18, 2009
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Power Analysis for mixed-effect models in R

The power of a statistical test is the probability that a null hypothesis will be rejected when the alternative hypothesis is true. In lay terms, power is your ability to refine or "prove" your expectations from the data you collect. The most frequent...

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Polynomial regression techniques

September 5, 2009
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Polynomial regression techniques

Suppose we want to create a polynomial that can approximate better the following dataset on the population of a certain Italian city over 10 years. The table summarizes the data:$$\begin{tabular}{|1|1|}\hline Year & Population\\ \hline 1959&4835\\ 1960&4970\\ 1961&5085\\ 1962&5160\\ 1963&5310\\ 1964&5260\\ 1965&5235\\ 1966&5255\\ 1967&5235\\ 1968&5210\\ 1969&5175\\ \hline \end{tabular}$$First we import the data into R:Year Population Now we create the dataframe...

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Polynomial regression techniques

September 5, 2009
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Polynomial regression techniques

Suppose we want to create a polynomial that can approximate better the following dataset on the population of a certain Italian city over 10 years. The table summarizes the data:$$\begin{tabular}{|1|1|}\hline Year & Population\\ \hline 1959&4835\\ 1960&4970\\ 1961&5085\\ 1962&5160\\ 1963&5310\\ 1964&5260\\ 1965&5235\\ 1966&5255\\ 1967&5235\\ 1968&5210\\ 1969&5175\\ \hline \end{tabular}$$First we import the data into R:Year Population Now we create the dataframe...

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Let’s All Go Down to the Barplot!

September 3, 2009
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Let’s All Go Down to the Barplot!

I’m back for another pean to ANOVA-loving experimental ecology. Barplots (or point-range plots – but which is better is a discussion for a different time) are the thing! And a friend of mine was recently asking me how to do a decent barplot with ggplot2 for data of moderate complexity (e.g., a 2-way ANOVA). So

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Analysis of Variance

September 1, 2009
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Analysis of Variance

In an experiment study, various treatments are applied to test subjects and the response data is gathered for analysis. A critical tool for carrying out the analysis is the Analysis of Variance (ANOVA). It enables a researcher to differentiate treatm...

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