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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
- Postgraduate data analysis and interpretation January 16, 2014
- Mixed-effects modeling — four hour workshop — part IV: LMEs November 5, 2013
Category Archives: getting started
Getting started – revision of dataframe input, new on looking at data type
This post assumes that you have read and worked through examples in previous posts concerning: 1. how to read in .csv files as dataframes; 2. data structure basics, including discussion of vectors, matrices, and dataframes. We will be working with … Continue reading
Posted in 8. Getting started - data, getting started, rstats
Tagged as.factor, as.numeric, coercion, dataframe, is.factor, is.numeric, variable
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Getting started – it can be worrying
Creative commons – flickr – Florida Memory: Bridge over Homosassa river One reason I am writing the blog is that when I started things were pretty mysterious. I knew I had to travel down the road but I wasn’t sure … Continue reading
Posted in getting started, image, rstats
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Getting started – why bother?
Creative commons – flickr – Florida Memory: View of the Blue Hole swiming area at Florida Caverns State Park I sometimes recall an article by Jerry Fodor in, I think, the New York Review of Books where he asked himself … Continue reading
Posted in getting started, image, rstats
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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 – what’s next?
We will switch databases, to a set of data on item attributes. And we will work on another of the especially attractive and powerful features of R: the capacity to select and work with specific elements of a larger database: … Continue reading
Posted in .Interim directions, getting started, image
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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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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 →