# R

# My programming in R has usually been rather basic, and based almost entirely on the scripts of others (which I have then adapted to whatever needs I had).

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# R and RStudio have been used for plotting of data and for certain analyses where R was more suited than SPSS or MATLAB.

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# During the Master's of Science I took a class for 1 semester on R.

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# During the four year Doctorate scripts were produced, using the ggplot package, to identify various components within the data (e.g. a binomial distribution) and to plot these. Multiple components in the data, as opposed to just one, essentially means that there are multiple underlying effects driving the overall observed effect.

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# PDF version of the R SCRIPT

# During the time at SCCER CREST R scripts have been written in order to illustrate regression slopes for Moderation effects (for more information on this see Data Analysis -> ANOVAS AND REGRESSIONS).

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# PDF version of the R SCRIPT

# R can be used to produce some pleasing graphs that can "tell a story" better than some other packages. Here are the Reaction Time distributions of many conditions (i.e. 2-18) overlapping with each other and of different color (produced during the PhD). Differences are easy to spot and the graph remains elegant.

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