Time Table 2015
Day 1 – Introduction to R for first time users and basic analyses (03.02)
10:00 – 10:45 Quick introduction to R
Opening R and working with script files
Installing packages
11:00 – 11:45 Arranging data for R
Importing data into R
Reading packages instructions, search tools for R and useful websites
Lunch break 11:45 – 13:00
13:00 – 13:45 General summary statistics & Basic data manipulation
‘plyr’ package, ‘reshape’/’reshape2’ package
14:00 – 16:00 Practicing
Day 2 – Statistics in R – part 1 Introduction to statistics & basic statistics in R (04.02)
10:00 – 10:45 Loops and functions
11:00 – 11:45 Loops and functions
Lunch break 11:45 – 13:00
13:00 – 13:45 Introduction to statistics in R
14:00 – 16:00 Practicing
Day 3 – Statistics in R – part 2 finding the statistical test and reading results (05.02)
10:00 – 10:45 Basic statistics (ANOVA, t-test, chi-test, linier regression)
11:00 – 11:45 multiple regression, ANCOVA and Model Selection
Lunch break 11:45 – 13:00
13:00 - 13:45 Non-parametric tests
14:00 – 16:00 Practicing
Day 4 - Statistics in R – part 3 finding the statistical test and reading results (08.02)
10:00 – 10:45 Randomization tests
11:00 – 11:45 Randomization tests
Lunch break 11:45 – 13:00
13:00 – 13:45 Randomization tests
14:00 – 14:45 Randomization tests
15:00 – 16:00 Practicing
Day 5 –preparing the data for publication (data visualization) (09.02)
10:00 – 10:45 Introduction to plotting (plot, plotrix, ggplot2)
11:00 – 11:45 Plotting with R and ggplot2 – syntax general
Lunch break 11:45 – 13:00
13:00 – 13:45 Syntax for common plots
14:00 – 14:30 Useful websites for plotting with ggplot2
14:30 – 16:00 Practicing on ggplot2
Day 6 – Workshop: each works on his own data (10.02)
10:00 – 11:45 Running the analyses, reading the results
Lunch break 1145 – 1300
13:00 – 14:00 Running the analyses, reading the results
14:00 – 15:00 Q&A and Summary of the workshop and feedback
Day 1 – Introduction to R for first time users and basic analyses (03.02)
10:00 – 10:45 Quick introduction to R
Opening R and working with script files
Installing packages
11:00 – 11:45 Arranging data for R
Importing data into R
Reading packages instructions, search tools for R and useful websites
Lunch break 11:45 – 13:00
13:00 – 13:45 General summary statistics & Basic data manipulation
‘plyr’ package, ‘reshape’/’reshape2’ package
14:00 – 16:00 Practicing
Day 2 – Statistics in R – part 1 Introduction to statistics & basic statistics in R (04.02)
10:00 – 10:45 Loops and functions
11:00 – 11:45 Loops and functions
Lunch break 11:45 – 13:00
13:00 – 13:45 Introduction to statistics in R
14:00 – 16:00 Practicing
Day 3 – Statistics in R – part 2 finding the statistical test and reading results (05.02)
10:00 – 10:45 Basic statistics (ANOVA, t-test, chi-test, linier regression)
11:00 – 11:45 multiple regression, ANCOVA and Model Selection
Lunch break 11:45 – 13:00
13:00 - 13:45 Non-parametric tests
14:00 – 16:00 Practicing
Day 4 - Statistics in R – part 3 finding the statistical test and reading results (08.02)
10:00 – 10:45 Randomization tests
11:00 – 11:45 Randomization tests
Lunch break 11:45 – 13:00
13:00 – 13:45 Randomization tests
14:00 – 14:45 Randomization tests
15:00 – 16:00 Practicing
Day 5 –preparing the data for publication (data visualization) (09.02)
10:00 – 10:45 Introduction to plotting (plot, plotrix, ggplot2)
11:00 – 11:45 Plotting with R and ggplot2 – syntax general
Lunch break 11:45 – 13:00
13:00 – 13:45 Syntax for common plots
14:00 – 14:30 Useful websites for plotting with ggplot2
14:30 – 16:00 Practicing on ggplot2
Day 6 – Workshop: each works on his own data (10.02)
10:00 – 11:45 Running the analyses, reading the results
Lunch break 1145 – 1300
13:00 – 14:00 Running the analyses, reading the results
14:00 – 15:00 Q&A and Summary of the workshop and feedback