The Summary Output from the Linear Model

Output

The Contrast Function

Variance Inflation Factor

Variance Inflation Factors

Final Visualization

Average Rem Sleep

Summary

Pipe Operators

when should we use one-way analysis of variance (ANOVA) in statistics and in research

how to conduct ANOVA in R software using the "aov" command/function

how to access the help menu in R for ANOVA commands

how to create a boxplot in R statistical software

how to view ANOVA table in R using "summary" function

how to ask R for what is stored in an object using the "attributes" function.

how to extract certain attributes from an object in R using the dollar sign ($)

how to conduct multiple comparisons/pair-wise comparisons for the analysis of variance in R using the "TukeyHSD" command

how to produce a visual display for the pair-wise comparisons of the analysis of variance in R programming language using "plot" function

how to produce Kruskal-Wallis one-way analysis of variance using ranks in R using the "kruskal.test" function

when is it appropriate to use Kruskal-Wallis one-way analysis of variance for data in statistics and in research

Introduction

Example

Requirements for the mixed ANOVA

Descriptive statistics as a first look

mixed ANOVA calculation in R

Sphericity testing

Interpreting the results of the mixed ANOVA in R

Introduction

Installing and loading the haven-package

Using the read_sav()-function

Enter SPSS-file name and location

イントロ

二変量解析

相関係数とは

Rで相関係数を算出・無相関の検定

Rでファイ係数を算出

Introduction

Example

Requirements for the repeated measures ANOVA

Descriptive statistics as a first look

Repeated measures ANOVA calculation in R

Sphericity testing

Interpreting the results of the repeated measures ANOVA in R

Introduction

Description of the data set (Alcohol and Self-control Study)

Import the data set and create a data frame

Transform the predictors into factored variables

Descriptive statistics

Make a 'jittered' scatterplot using ggplot

Difference between the Student's vs. Welch's t-test

Student's t-test

Welch's t-test

Paired-sample t-test

One-way independent ANOVA using the afex package

Plot different data frames in one ggplot

Extract the residuals/predicted values

Testing parametric test assumptions

One-way independent ANOVA using the lm() function

Extract the residuals/predicted values

Testing parametric test assumptions

Introduction and sample

Prerequisites

Creating the boxplots using ggpubr

Customizing boxplots

Introduction and overview

Eye test with descriptive analysis

Levene's test

Intro

Data table

Summarizing data

Radon summary table

Interpreting the output

Summary

Saving the table as a CSV file

Conclusion

Introducing the 'write. table' command for exporting data out of R.

How to access the help menu for a command in R

How to use the 'write.table' command in R Software

How to use "sep" argument to specify the file format or separator for the values in R

How to include or exclude the row names while exporting data out of R Programming software using 'row.names' argument

How to save file exported from R to a folder other than the current working directory

How to use the "write.csv" command to export data from R (this will not require using "sep" argument as it is implied in the write.csv that we would like this to be saved as a comma separated value file)

a quick overview of "write.csv2" command that is used in Western Europe and would use a comma for a decimal point and a semicolon for a separator rather than a comma

How to use write.command in for saving in other file formats for example a tab delimited text file

Dataset description

Importing data

Simple ANOVA recap

Analysis of variance table

Two-way ANOVA output table

Interaction plot script

Interaction plot

Specifying prediction and interaction variables

Plotting results

Copy to clipboard command

Packages required

Checking the data structure

Checking data

Result of analysis of variance

Mean separation

Summary

Conclusion

Automatic recoding

Visual banding

Example of recoding

Looking up values

Recode into different variables

Create a new version of the variable

Assign the codes

Creating output variables as strings

Introduction

Import the data set (Alcohol and Self-control Study) and create a data frame

What are "contrasts"?

Seven Rules for building contrasts

Contrasts using the aov_4() function

Contrasts using the lm() function