• Practicalities (see below, this page)
• R Big Picture
  • Our scope within "Programming"
  • Where R is strongest
• Navigation in R Studio
  • Manage files
  • Install packages 
  • Functions
  • Data types (digits, letters, etc.)
  • Vectors & Data Frames
  • Variable assignment
• Presentation file
• Exercise file

Deadline: before next lecture

https://app.datacamp.com/learn/courses/free-introduction-to-r , Chapters 1 and 2

• Lectures moved to B103B, for good!
• Live Quizzes:    https://quest.ms.mff.cuni.cz/class-quiz/
• Logical operators
• Vectors
  • select (subset) by position or condition (logical operators)
• Functions - how to read help, argument order, defaults
• Inspect a file with readLines.
• Read a tabular file with the right read.... function

Deadline: before next lecture

DataCamp, Introduction to R, Chapter 5 - Data Frames.

And: Tasks in the end of the presentation from today's lecture, after the quizzes:

• copy today's lecture folder from cinkova's folder to your home programmatically
• Check out the functions readLines and read.delim (or one of its friends) on the file Transatlantyk... (in the lecture folder)
• Play around with the str_c (or paste) function in the Madly difficult exercise slide. (NB: the following (last) slide contains the clue.) To be able to use str_c, remember to call library(stringr) first!

Optional, but highly recommended to do any time is Chapter 4 -Factors.

2024-10-11_02.zip presentation, data files and exercises

Presentation converted from revealjs to pdf over pptx, rather well-preserved

• No statistics lecture. We must leave B103B at 10:50, exceptionally.
• Optional individual work and consultations with SC 11:00-11:30 in C420, possible extension to 12:20.
• Recap + solution of tasks in last lecture's slides (readLines, read in a tabular file with read.delim). Show read_lines and read_delim, too.
• Data frames
  • str ,  summary, ncol, nrow
  • column names
  • subsetting the base R way (positions, column names,
  • filtering and selecting with dplyr
  • read a table from a file
  • factors

 Exercises in the lecture

• pen and paper (clips): clips.pptx
  • match code snippets from this spreadsheet (without clue)
  • the entire package including clues, diverse formats  
• my_first_script from 2024-10-11_02.zip

Homework assignment for next time:

!!!! All finish DataCamp, Introduction to R, Chapter 5 - Data Frames.

And, a new one: Introduction to the tidyverse, Chapter 1 - Data wrangling.

https://campus.datacamp.com/courses/introduction-to-the-tidyverse/data-wrangling-1?ex=1

• Presentation about dplyr (pdf)
• Discussion of solution to the clips group task (live previous session) based on this quiz. Teacher should generate a QR code to make the quiz live: https://quest.ms.mff.cuni.cz/class-quiz/ )You can only respond to the quiz viewing THESE WORKSHEETS simultaneously. Quiz without time limits for the live lecture is here (but there's no way to show you the clue outside the lecture).
• You will find the solution to the clips exercise (code snippets) in the zip file of the entire package including clues, diverse formats . It is a Rmd file.
• Optional exercise to the end of the lecture my_first_Rscript_TASK.R
• Clue to this exercise: my_first_Rscript_CLUE.R

• Assignment for the next time: Data Camp, Introduction to the tidyverse, Chapter 3  - Grouping and Summarizing (in addition to Chapter 1 Data Wrangling from the last time!!!)

Finishing the worksheets quiz from the previous lecture

You should have trained data wrangling with dplyr. Here comes a real case study with data from the wild. Group collaboration in DataCamp's collaborative IDE DataLab. Here is a link to the assignment. Make your own copy of the worksheet, share it with the group and you are all set to work:

https://www.datacamp.com/datalab/w/f78bedf6-526a-4951-a796-97eaa0575d0e/edit

Part of the work is brainstorming over possible visualizations, but the coding concerns only tables.

https://www.datacamp.com/datalab/w/f78bedf6-526a-4951-a796-97eaa0575d0e/...

https://www.datacamp.com/datalab/w/f78bedf6-526a-4951-a796-97eaa0575d0e/...

DataCamp Introduction to Data Visualization with ggplot2, first three chapters (Data, Aesthetics, Geometries). YOU MUST HAVE COMPLETED IT FOR THE LECTURE ON NOVEMBER 22!!!!

Feel free to experiment with ggplot2 to illustrate your research on British traffic accidents.