Rpresent

Nguyen Tan Dat
5/12/2017

What is R?

new-talk

R provides a wide variety of statistical (linear and nonlinear modelling, time-series analysis, classification, clustering etc) and graphical techniques, and is highly extensible.
The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.

Step 1 R Base install

https://cran.r-project.org/bin/windows/base/

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Step 2 Rstudios

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https://www.rstudio.com/products/rstudio/download/

Self-study R

Book “The Art of R Programming” http://diytranscriptomics.com/Reading/files/The%20Art%20of%20R%20Programming.pdf
Write in Console Studio

install.packages("swirl")
library("swirl")
# Follow as instructed.

For more details on authoring R presentations

https://support.rstudio.com/hc/en-us/articles/200486468.

OPEN SOURCE

https://github.com/tidyverse/ggplot2/wiki/Why-use-ggplot2

BOOK DOWNLOAD: “R GRAPH COOKBOOK” http://www.12968.com/01database/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%B8%88%E7%9B%B8%E5%85%B3/%E6%96%87%E5%AD%97%E8%B5%84%E6%96%99/R%E8%AF%AD%E8%A8%80/%E8%8B%B1%E6%96%87%E4%B9%A6%E7%B1%8D/R_Graph_Cookbook.pdf

VD 1

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VD 2

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VD 3

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VD 4

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VD 5

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Facet_grid with GGPLOT2

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With Base

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Facet_grid with GGPLOT2

#Facet grid
sp <- ggplot(tips, aes(x=total_bill, y=tip/total_bill))
sp    + geom_point(shape =1)
sp + facet_grid(sex ~ day)+ geom_point(shape =1)

Facet_grid with GGPLOT2

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Facet_grid With Base

par(mfrow=c(2,4))
days <- c("Thur", "Fri", "Sat", "Sun")
sexes <- unique(tips$sex)
for (i in 1:length(sexes)) {
  for (j in 1:length(days)) {
    currdata <- tips[tips$day == days[j] & tips$sex == sexes[i],]
    plot(currdata$total_bill, currdata$tip/currdata$total_bill,
        main=paste(days[j], sexes[i], sep=", "), ylim=c(0,0.7), las=1)
  }
}

Facet_grid With Base

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Other example A

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B

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C

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D

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HISTOGRAM

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COLOR

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TEXT LABEL

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BOXPLOT

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CONNECTION MAP

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DENSITY

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MARGINAL HISTOGRAM FOR GGPLOT2

                   mpg cyl disp  hp drat    wt  qsec vs am gear carb
Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

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ANNOTATION

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SPYWEB

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RADAR 1

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RADAR 2

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CIRCULAR BARPLOT

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STACK PLOT

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TREEMAP

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TREEMAP

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TREEMAP

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Slide With Plotly

Plotly's R library is free and open source!
Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode.
We also have a quick-reference cheatsheet (new!) to help you get started! https://github.com/plotly/plotly.py https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf

Advantages:

It lets you create interactive visualizations built using D3.js without even having to know D3.js.
It provides compatibility with number of different languages/ tools like R, Python, MATLAB, Perl, Julia, Arduino.
Using plotly, interactive plots can easily be shared online with multiple people.
Plotly can also be used by people with no technical background for creating interactive plots by uploading the data and using plotly GUI. Plotly is compatible with ggplots in R and Python.
It allows to embed interactive plots in projects or websites using iframes or html.
The syntax for creating interactive plots using plotly is very simple as well.

Disadvantages:

The plots made using plotly community version are always public and can be viewed by anyone.
For plotly community version, there is an upper limit on the API calls per day.
There are also limited number of color Palettes available in community version which acts as an upper bound on the coloring options.

Art

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