Presenting research at a conference is a major highlight of any academic’s career. Choosing the right conference is important. Not only is attending expensive (travel costs, conference fees, lodging costs), but it is also a large time investment. The conference may span 3-7 days itself, but also preparing abstracts and the presentation takes a significant amount of time.

Predatory journal is a term, coined by Jeffrey Beall, to describe publishers who are more concerned with profit than ethics. These journals are scams. They prey on unsuspecting researchers, often targeting third tier economic areas, and masquerade as legitimate publishers.

Have you ever analyzed raw data, come back to your analysis months later, and struggled to figure out what you did? The importance of keeping a lab notebook during experiments is often drilled into researchers. However, the same cannot be said for keeping a detailed log of data and statistical analysis.

All the hard work has finally paid off. You are ready to submit your research article to your target journal. It is a good idea before you hit “submit” to double check that you have met all the journals requirements and included all relevant information.

Paying for somewhere to live is an unavoidable expense. Whether you rent or own it is recommended that no more than 30% of your income be spent on shelter costs. Is this 30% figure attainable for Canadians? In this post, we perform an analysis using r to find out, and make predictions for the future.

Researchers are under immense pressure to publish. Without publications your career will stagnate and you could find yourself unemployed and unemployable. This difficult situation is often described as “Publish or Perish.” A simple way to get early publications is to convert your PhD thesis into journal articles.

In previous posts, we talked about the advantages of using R, and demonstrated how to a solve brain teaser using R. R is also a powerful tool for predictive modelling. Predictive modelling uses available data and statistics to forecast outcomes. In this example, we use R to predict the fate of passengers on the Titanic. 

In a previous post, we discussed why R is a great choice to simplify your data and statistical analysis. R has a steep learning curve at first, but with practice, the advantages of R far outweigh the initial bumps. In this post, we provide an example of using R to solve a well-known brain teaser – The Monty Hall Problem.

Data and Statistical Analysis

There are so many statistical software packages that it is hard to choose. Should you use SAS, SPSS, Stata, Statistica, SigmaPlot, R, or even Excel for your data and statistical analysis?

Reference managing software simplifies research publication. You don’t need to keep track of who you cited, in what order, or whether your reference list includes only who you cited in the paper. Software such as Endnote and Mendeley partially automate these time-consuming tasks and make your research life easier.