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# Introduction

When you’ve run your statistical models and gathered all the numbers, how do you report them in-line in your text? In this tutorial, I will show you which numbers are most commonly reported in academic prose (e.g., in articles), and what the conventions are for formatting them in-line. This is certainly not the only way to report your statistics, but it is how I have done so and what I most commonly have seen in the literature. Please feel free to send me feedback or comments if you think there is a better way to report any of these tests!

``````library(lme4,ordinal)
# Load in three data sets to try out
# 1) dataBin = binomial data from a simulated forced-choice task
# 2) dataOrd = ordinal rating data from a simulated Likert scale task
# 3) dataCon = continuous numeric data from a simulated reaction time task

The dataset I’m using here has a binomial dependent variable `selection` (which is coded as hits with `1`s and misses with `0`s in the column called selectCode`). This data frame was designed to mimic a forced-choice task, such as selecting which of two sentences sounds more natural. There are two levels of the primary independent variable:

``levels(dataBin\$condition)``
`` "Baseline"  "Treatment"``

In this simulated data set, the same task was carried out in three different experiments, which are labled as below:

``levels(dataBin\$experiment)``
`` "first"  "second" "third" ``

Finally, let’s take a look at what our data look like. These graphs displays the selection of Options 1 and 2 by condition and experiment, and their interaction. This is not the only way to visualise this data, but it will be particularly helpful in the interpretation of interactions later on.

``````library(ggplot2)
ggplot(dataBin, aes(x=condition)) + geom_bar(aes(fill=selection),position="stack") + ggtitle("Selection across Condition only")``````