\(MOSAIC_{data}\)
Block 0: Introduction to R, Part 1
2022-07-11
2022-07-11
Block 0: Introduction to R
Very short introduction
Seven levels of using R
Three styles of using R Freehand- flexible
- impressive
- badly documented
Terminal
Script based
Texteditor
Scripts: Some rules ##################################################################
## Didactic R-Script for Modelling Summer School
## ===============================================================
## Project: Modelling Summer School
## Author: O. Nakoinz, C. Filet & F. Faupel
## Version: 01
## Date of last changes: 10.09.2018
## Data: some.data
## Author of data: author.data
## Purpose: didactic
## Content: 1. preparation, 2. data import, ...
## Description: The script include ...
## Licence data: -
## Licence Script: GPL (http://www.gnu.org/licenses/gpl-3.0.html)
################################################################### This is a comment
a <- c(3,6,7,4,9,7,3,3,3) # This is a vector
median(a) # This is the "median" function
## [1] 4UTF-8.<- to assign not = Folder Structure Literate Programming
RMarkdown
Rule No 1Do not try remembering all details, focus on the most important aspects
Knowledge means, knowing where it is written. (attributed to Albert Einstein)
Educated is who knows where to find what he does not know. (attributed to Georg Simmel)
Reading Code
5 + 3## [1] 85 - 3## [1] 25 * 3## [1] 155 / 3## [1] 1.6666675 ^ 3## [1] 1255 %% 3## [1] 25 %/% 3## [1] 1| Operator | Description |
|---|---|
| + | addition |
| - | subtraction |
| * | multiplication |
| / | division |
| ^ or ** | exponentiation |
| x %% y | modulus (x mod y) 5 %% 2 is 1 |
| x %/% y | integer division 5 %/% 2 is 2 |
read and analyze code!
wd_lin <- "/home/xxxx/xxxx"
wd_win <- "D:\\xxx\\xxxx"
# set(wd_lin)
here (Müller 2020) provides functions for dealing with the path RStudio
Exercise
5 min. break? Exercise
xxx# 1st level header## 2nd level header**bolt***italic*[link](https://en.wikipedia.org/wiki/Markdown):  Exercise
Reading code
A vector contains an ordered set of elements of the same type.
Vectors are defined with the function c (for concatenate).
x <- c(3, 5, 2, 2, 5, 8, 5, 2)
y <- c(6, 7, 2, 4, 5, 2, 9, 1)
vector
Vectors can be defined as sequence and many functions are available for manipulating vectors.
read and analyze code!
x <- c(3, 5, 2, 2, 5, 8, 5, 2)
y <- c(6, 7, 2, 4, 5, 2, 9, 1)
z <- seq(1:5)
z2 <- seq(along = y)
z3 <- rep(3, 5)
x_sort <- sort(x)
x_rev <- rev(x)
x_revsort <- rev(sort(x))
x_sortdec <- sort(x,
decreasing = T)
[rows, columns]Column
df$x
df[, 2]
df[,c(1, 2)]
df[, c("x", "y")]
dplyr::select(df, x)Row
df[4, ]
df[4, ]$x
df[4:7, ]
df[c(2, 4, 6),]
df[x>2, ]
dplyr::filter(df, y > 2)
The most important functions in Rhelp(sin)
?rbind
# shortcut for 'help()'
??read
str(x)## num [1:8] 3 5 2 2 5 8 5 2summary(x)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 2 2 4 4 5 8ls()## [1] "a" "add5" "df" "f" "l" "wd_lin"
## [7] "wd_win" "x" "x_rev" "x_revsort" "x_sort" "x_sortdec"
## [13] "y" "z" "z2" "z3" "zx" "zy"dir()## [1] "MOSAICdata_block0_1.html"
## [2] "MOSAICdata_block0_1.rmd"
## [3] "MOSAICdata_block0_1b.html"
## [4] "MOSAICdata_block0_1b.rmd"
## [5] "MOSAICdata_block0_2.html"
## [6] "MOSAICdata_block0_2.rmd"
## [7] "MOSAICdata_block0_2b.html"
## [8] "MOSAICdata_block0_2b.rmd"
## [9] "MOSAICdata_block0_3.html"
## [10] "MOSAICdata_block0_3.rmd"
## [11] "MOSAICdata_block0_3b.html"
## [12] "MOSAICdata_block0_3b.rmd"
## [13] "Rintro1.Rmd"
## [14] "Rintro2.Rmd"
## [15] "s01.html"
## [16] "s01.Rmd"
## [17] "s02.html"
## [18] "s02.Rmd"
## [19] "s03.html"
## [20] "s03.Rmd"
## [21] "s04.html"
## [22] "s04.Rmd"
## [23] "s05.html"
## [24] "s05.Rmd"
## [25] "s06.html"
## [26] "s06.Rmd"
## [27] "s07.html"
## [28] "s07.Rmd"
## [29] "s08.html"
## [30] "s08.Rmd"
## [31] "s09.html"
## [32] "s09.Rmd"
## [33] "s1_Kursfolienvorlage_Einfuehrung.Rmd"
## [34] "s1_Kursfolienvorlage.Rmd"
## [35] "s10.html"
## [36] "s10.Rmd"
## [37] "s11.html"
## [38] "s11.Rmd"
## [39] "s12.Rmd"
## [40] "stycss"
## [41] "titelfolie.html"
## [42] "titelfolie.pdf"
## [43] "titelfolie.Rmd"a_v with some numbers: 4.5, 6.2, 6.4, 7.9 and 7.3b_v with fife names (perhaps participants)c_m with 12 cells and random contentd_df with fictive names and sizealle_l of all elements created beforea_vb_valle_la_v Break
References