There are now quite a few R packages to turn cross-tables and fitted models into nicely formatted latex. In a previous post I showed how to use one of them to display regression tables on the fly. In this post I summarise what types of R object each of the major packages can deal with.
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reports 0.1.2 Released
I’m very pleased to announce the release of reports : An R package to assist in the workflow of writing academic articles and other reports. This is the first CRAN release of reports: http://cran.r-project.org/web/packages/reports/index.html The reports package assists in writing … Continue reading →
High Resolution Figures in R
As I was recently preparing a manuscript for PLOS ONE, I realized the default resolution of R and RStudio images are insufficient for publication. PLOS ONE requires 300 ppi images in TIFF or EPS (encapsulated postscript) format. In R plots … Continue reading →
Simulating Random Multivariate Correlated Data (Categorical Variables)
This is a repost of the second part of an example that I posted last year but at the time I only had the PDF document (written in ). This is the second example to generate multivariate random associated data. This example shows how to generate ordinal, categorical, data. It is a little more complex than generating continuous
Veterinary Epidemiologic Research: Linear Regression Part 3 – Box-Cox and Matrix Representation
In the previous post, I forgot to show an example of Box-Cox transformation when there’s a lack of normality. The Box-Cox procedure computes values of which best “normalises” the errors. value Transformed value of Y 2 1 0.5 0 -0.5 -1 -2 For example: The plot indicates a log transformation. Matrix Representation We can use 
Simulating Random Multivariate Correlated Data (Continuous Variables)
This is a repost of an example that I posted last year but at the time I only had the PDF document (written in ). I’m reposting it directly into WordPress and I’m including the graphs. From time-to-time a researcher needs to develop a script or an application to collect and analyze data. They may also need
Analyse Quandl data with R – even from the cloud
I have read two thrilling news about the really promising time-series data provider called Quandl recently: Quandl: A Wikipedia for Time Series DataQuandl package released to CRANWith the help of the Quandl R package* (development version...
Moving Average Representation of VAR
A vector autoregression (VAR) process can be represented in a couple of ways. The usual form is as follows: The above (AR process) is what we often see and use in practice. However, I recently see more and … Continue reading →
Comparing quantiles for two samples
Recently, for a research paper, I some samples, and I wanted to compare them. Not to compare they means (by construction, all of them were centered) but there dispersion. And not they variance, but more their quantiles. Consider the following boxplot type function, where everything here is quantile related (which is not the case for standard boxplot, see http://freakonometrics.hypotheses.org/4138,...
From OpenOffice noob to control freak: A love story with R, LaTeX and knitr
Lately I had to write a seminar paper for a class and I decided to overdo it.But let's start at the very beginning. Here is my evolution of how I used to write stuff and how I got from this:to that:School: OpenOffice - I guess everyone has some&nb...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
