6.8 It is possible to represent more variables on the plot.6.7 Changing the geoms leads to different visualisations.6.3 By the end of this section, you will be able to:.6 Graphing and data visualisation with R.5.7 Basic statistical tests (more detail in later sections).5.6.3 describe() - in the “psych” package #2.5.6.2 describe() - in the “psych” package #1.5.5.4 Assessing normality of distribution.5.5.2 Assessing skewness of distribution #2.5.5.1 Assessing skewness of distribution #1.5.2 Let’s make sure our data types are correct #1.5.1 Working example - record sales data.5 Exploratory and descriptive analysis with R.4.7.2 Refer to variables (columns) in a dataframe.4.6.3 Convert variables from one type to another.4.6 Identify different data structures and variable types.4.4 Restructuring and reorganising data in R (long versus wide data).4.3 Import data into R from excel, SPSS and csv files.4.2 In this section, we will use the Tidyverse set of packages.4.1 By the end of this section, you will be able to:.3.1 By the end of this section, you should be able to:.2.6 The null hypothesis and statistical significance.2.5 We can also make confidence intervals of differences between means.2.4 We can use confidence intervals to make educated guesses about the population mean.2.3 Variance in sample data influences our confidence in population estimates.2.1 Basic concepts that you should already know.1.5.2 Working with R and RStudio to do analysis.1.5 Textbooks that can be accessed online.1.4.1 Downloading R and R Studio software.1.2 Module timetable and delivery for 2022/2023.Advanced Psychological Research Methods (PSY4034).
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