Last update
1
Dataset
1.1
Understanding the dataset is key to getting the most out of it.
1.2
Defining variables correctly
1.3
Checking the structure of the dataset
2
Tables
2.1
Some packages to build tables in R
2.2
Table parts
2.3
Merging cells
2.4
Example - merge
2.5
Define displayed values and mixed content
2.6
Highlights
3
crosstable - Extracting the basic statistics
3.1
crosstable + flextable
3.2
Making some improvements
3.3
Exporting tables
4
Example 2
4.1
Double entry table
5
Correlation
5.1
Table for correlations
6
Statistical tests
6.1
Chi-square and t-Student’s test
6.2
Regression analysis
7
References
8
Graphics
8.1
Main graphics packages in R
8.2
Which graphical package?
8.3
Histogram using graphics
8.4
Standard barchart
8.5
Standard barchart
8.6
Customised barchart
8.7
Conditional barchart
8.8
Conditional barchart - Standard
8.9
Conditional barchart - Customised
8.10
Mean
\(\pm\)
Error bar
8.11
Conditional error bars
8.12
Conditional error bars + groups
8.13
Double Scale
8.14
prepanel and panel function
8.14.1
Superpose
8.15
prepanel + panel function
8.16
grid.arrange
8.17
grid.arrange
8.18
grid.arrange
9
3D
9.1
3D
9.2
3D
9.3
3D
10
Extra
11
Descriptive statistics by hand
12
Dataset
12.1
Understanding the dataset is key to getting the most out of it.
12.2
Understanding the dataset is key to getting the most out of it.
12.3
Defining variables correctly
12.4
Defining variables correctly
12.5
Checking the structure of the dataset
13
Tables
13.1
Some packages to build tables in R
13.2
Table parts
13.3
Merging cells
13.4
Example - merge
13.5
Example - merge
13.6
Define displayed values and mixed content
13.7
Define displayed values and mixed content
13.8
Highlights
14
crosstable - Extracting the basic statistics
14.1
crosstable + flextable
14.2
crosstable + flextable
14.3
Making some improvements
14.4
Making some improvements
14.5
Exporting tables
15
Example 2
15.1
Double entry table
15.2
Double entry table
15.3
Double entry table
16
Correlation
16.1
Table for correlations
16.2
Table for correlations
17
Statistical tests
17.1
Chi-square and t-Student’s test
17.2
Chi-square and t-Student’s test
17.3
Regression analysis
18
References
19
Graphics
19.1
Main graphics packages in R
19.2
graphics package
19.3
ggplot2 package
19.4
lattice package
19.5
Which graphical package?
19.6
Histogram using graphics
19.7
Histogram using ggplot2
19.8
Histogram using lattice
19.9
Standard barchart
19.10
Standard barchart
19.11
Customised barchart
19.12
Conditional barchart
19.13
COnditional barchart - Standard
19.14
Conditional barchart - Customised
19.15
Conditional barchart - Customised
19.16
Conditional barchart - Customised
19.17
Conditional barchart - Customised
19.18
Conditional barchart - Customised
19.19
Mean
\(\pm\)
Error bar
19.20
Mean
\(\pm\)
Error bar
19.21
Mean
\(\pm\)
Error bar
19.22
Mean
\(\pm\)
Error bar
19.23
Conditional error bars
19.24
Conditional error bars
19.25
Conditional error bars
19.26
Conditional error bars
19.27
Conditional error bars
19.28
Conditional error bars
19.29
Conditional error bars + groups
19.30
Conditional error bars + groups
19.31
Conditional error bars + groups
19.32
Conditional error bars + groups
19.33
Conditional error bars + groups
19.34
Double Scale
19.35
Double Scale
19.36
Double Scale
19.37
prepanel and panel function
19.38
Superpose
19.39
Superpose
19.40
Superpose
19.41
Superpose
19.42
prepanel + panel function
19.43
prepanel + panel function
19.44
prepanel + panel function
19.45
grid.arrange
19.46
grid.arrange
19.47
grid.arrange
20
3D
20.1
3D
20.2
3D
20.3
3D
21
Extra
Basic Statistics in R (Tables and Figures)
21
Extra