Browse by category
Tags
- 2012
- anova()
- arrays
- bluff
- california
- cbind()
- collinearity
- correlation
- correlations
- csv
- dataframe
- dataframes
- distribution
- DMDX
- evernote
- Exploratory data analysis
- facet
- Flickr
- getting started
- ggplot
- ggplot2
- graph
- Graphics
- grid
- GUI
- help
- histogram
- ifelse
- july
- label
- lattice
- learnR
- learn R
- library
- LME
- lmer()
- matrices
- matrix
- merge
- mixed effects
- modes
- multicollinearity
- normative
- objects
- ols()
- package
- plot
- plyr
- productivity
- programming
- R-Studio
- rbind()
- regression
- rename
- rstats
- santacruz
- scatterplot
- Scatter plot
- smoother
- social
- statistical concepts
- subset
- summary
- t-test
- title
- utah
- variable
- vector
- vectors
- visualization
- why R?
- workflow
- working directory
- workspace
-
Join 26 other subscribers
-
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
Author Archives: robayedavies
Getting started — loading data, writing and saving scripts
[16/1/14 edit — as the procedure for finding data in Mac OS were detailed in class, I am going to leave off editing this post to show Mac OS steps in detail because: steps are mostly the same; and we’ve … Continue reading
Posted in a. Getting started
Tagged dataframe, geom_histogram, ggplot, histogram, save, working directory, workspace
Leave a comment
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 in various ways when using R You need help most of … Continue reading
Getting started — Installation of RStudio and some packages + using ggplot() to make a simple plot
Install R Revise how to install R, as previously discussed here and here. Installation How do you download and install R? Google “CRAN” and click on the download link, then follow the instructions (e.g. at “install R for the first time”). … Continue reading
Posted in a. Getting started
Tagged getting started, ggplot, ggplot2, loess, mtcars, RStudio, scatterplot, smoother
Leave a comment
Postgraduate data analysis and interpretation
I am revising my previous posts on the whole process, from getting started with R to using it to do linear modelling and linear mixed-effects modelling. Sunset over the coast, on the road from Ravenglass to Broughton What this revision … Continue reading
Posted in Uncategorized
Leave a comment
Mixed-effects modeling — four hour workshop — part IV: LMEs
For an example analysis, we collated a .csv file of data from a repeated measures lexical decision experiment, which can be downloaded here. The code I have used in running the analysis described in this post can be found here. … Continue reading
Mixed-effects modeling — four hour workshop — part III: Regression modeling
We completed a study on the factors that influence visual word recognition performance in lexical decision. We then put together a dataset for analysis here. We examined the distribution of inter-relation of critical variables in that dataset, acting to transform … Continue reading
Posted in 2.3 LME workshop III/IV, Uncategorized
Tagged ggplot2, LME, ols(), plyr, scatterplot
Leave a comment
Mixed-effects modeling — four hour workshop — part II: Data Exploration
We got our data together in Part I of this workshop, eventually arriving at the collation of a single dataframe in ‘long format’ holding all our data on subject attributes, item attributes and behavioural responses to words in a lexical … Continue reading
Mixed-effects modeling — four hour workshop — part I: Data handling
This post will be one of four in which we go through how to model a multilevel dataset using linear mixed-effects modeling. To begin, we need to collate the data we have gathered in a simple reading experiment but one … Continue reading
Posted in 2.1 LME workshop I/IV, Uncategorized
Tagged csv, data handling, merge, plyr
Leave a comment
Mixed effects – Autumn workshop – practical steps in one hour
For an example analysis, we collated a .csv file of data from a repeated measures lexical decision experiment, which can be downloaded here. The code I have used in running the analysis described in this post can be found here. … Continue reading
Posted in Uncategorized
Leave a comment
Why R? One hour R workshop
Watching someone else do or talk about computing is boring, as many rubbish and one good film of the past have proved. Still from WarGames (1983), source: imdb Better to do something practical and, here, the task is to evaluate … Continue reading
Posted in Uncategorized
Leave a comment
ayeimanolr 