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
Category Archives: 8. Getting started – data
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
Leave a comment
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
Leave a comment
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
Leave a comment
ayeimanolr 