# Lab Statistics & Math

## R You Ready? Using R for Statistical Tests

We’ve been slowly coaxing you along in our R tutorials.  We’ve introduced what R is, gave you a basic tutorial into how to use R and also spent some time learning how to explore your data with R. By now you are probably itching to use R for more complicated analyses.  To indulge you, I…

## An Easy Way to Start Using R in Your Research: Exploratory Data Analysis

As you’ve probably kind of guessed from our previous articles Introducng R and the Basic R Tutorial, we think R programming language and R-studio are great tools for data analysis and figure production.  And now we are about to prove it! So, you’ve collected some data and are pretty sure you know what statistical test…

## You did a Co-IP…now what?

You spent the last few weeks tweaking your Co-immunoprecipitation conditions, testing different antibody/bead combinations, and sampling a panaply of solutions and FINALLY! You have your Co-immunoprecipitation (Co-IP) elution… Now what? Well, you have a few choices. It really all depends on what you need know about the proteins in your elution. Do you need to identify…

## Let’s Talk About Stats: Getting the Most out of your Multiple Datasets with Post-hoc Testing

So you’ve performed a test such as an ANOVA and have found that there is statistical significance in your data (lucky you!), however you now want to know where that significance lies. When you are comparing multiple sets of data it might seem like a logical thought to simply perform an individual t-test between each…

## Let’s Talk About Stats: Comparing Multiple Datasets

Last week I focused on the left-hand side of this diagram and talked about statistical tests for comparing only two datasets.  Unfortunately, many experiments are more complicated and have three or more datasets.  Different statistical tests are used for comparing multiple data sets. Today I will focus on the right side of the diagram and…

## Let’s Talk About Stats: Comparing Two Sets of Data

There are so may statistical tests out there it can be difficult to determine which is the right test to use. Below is a simple diagram to help you quickly determine which test is right for you. Although this is by no means a comprehensive guide, it includes some of the most common tests and…

## Let’s Talk About Stats: Understanding the Lingo

The first hurdle in learning about statistics is the language.  It’s terrible to be reading about a particular statistical test and have to be looking up the meaning of every third word. The type of data you have, the number of measurements, the range of your data values and how your data cluster are all…

## How to Deal With a Failed Experiment

Scientific success is often defined by how well your experiments progress and the results you produce. However, scientific research is driven by a curiosity about the unknown, and you cannot always be prepared for the unknown. Inevitably there will come a time when your experiments fail. In this article I give you some of the…