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Recent Posts
- Getting started — loading data, writing and saving scripts January 16, 2014
- Getting started – getting helped January 16, 2014
- Getting started — Installation of RStudio and some packages + using ggplot() to make a simple plot January 16, 2014
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Category Archives: rstats
Getting started – referring to dataframe elements by place, name or condition – selecting elements to subset data
In the previous post, we revised how to read in dataframes (see also how to read in .csv files as dataframes), using the item norms database as an example (see also here), and we also revised how to get summary … Continue reading
Posted in 9. Getting started - subset, getting started, rstats, subset
Tagged logical operators, select, subset
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Getting started – basics: vectors and matrices; creating them; manipulating them; referring to specific elements in them
We looked previously at data structures like vectors, and data types or modes, as in numeric, character string or logical. I’ll recap some of the previous post on vectors and then move on to talking about data structures like matrices … Continue reading
Posted in 8. Getting started - data, getting started, rstats
Tagged cbind(), dataframe, matrix, rbind(), vector
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Getting started – recapping basics, adding foundational knowledge
This post assumes that you have installed R and R-studio, see here and here if not. Getting started with data analysis can require a shift in mind-set. Home base for most people is a spreadsheet Most people find it difficult to … Continue reading
Posted in 8. Getting started - data, getting started, rstats
Tagged arrays, dataframes, matrices, modes, objects, vectors
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Getting started – selecting data, wrangling data – early (basic) moves
This post and the few following will switch focus from the ML subject scores database to a database built out of normative data about word attributes, which actually comes in a number of different parts (downloadable at the links). Remember that … Continue reading
Posted in .Interim directions, getting started, rstats
Tagged csv, dataframe, normative
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Getting started – statistical concepts – correlations
As we advance through the capabilities of R, we will increasingly take on the development of understanding of key statistical concepts. I have uploaded some undergraduate-level slides on correlations here: https://speakerdeck.com/robayedavies/r-class-correlations — check them out or, better, read a chapter … Continue reading
Introduction to DMDX, R and reproducible research in psycholinguistics – some proselytizing
Here are some slides: https://speakerdeck.com/robayedavies/r-dmdx-and-reproducible-science – setting out a case for using DMDX with R to do reproducible science.
Getting started – positioning and getting multiple plots on one page, output as a pdf
This post assumes you know how to set a working directory, load a data file, and run a ggplot() function call to create a histogram using geom_histogram, as discussed here. What are going to do in this post is expand … Continue reading
Posted in 6. Getting started - grid plots, plotting data, rstats
Tagged distribution, facet, ggplot2, grid, histogram, label, lattice, pdf, title
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Getting started – working directories, loading data, and a bit more plotting
For this post, I am going to assume that you know about files, folders and directories on your computer. In Windows (e.g. in XP and 7), you should be familiar with Windows Explorer. If you are not, this series of … Continue reading
Posted in 5. Getting started - load data, getting started, rstats, workflow
Tagged csv, dataframe, describe, geom, ggplot2, histogram, plot, read.csv, setwd, str, summary, working directory, workspace
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Getting started – getting helped
As we get started, we will need help, let’s work on how and where to find that help, and also how to act on it. We will need help Most modern software applications strive to ensure we get what we … Continue reading
ayeimanolr 
Getting started – drawing a scatterplot, with a linear regression smoother, edited title, label and theme, for report
This post assumes that you have installed and are able to load the ggplot2 package, that you have been able to download the ML subject scores database and can read it in to have it available as a dataframe in … Continue reading →