interactive

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

## Warning: package 'ggplot2' was built under R version 3.4.3

## Warning: package 'scales' was built under R version 3.4.3

## Warning: package 'reshape2' was built under R version 3.4.3

VD 2

VD 3 ======================================================== VD 4 ======================================================== VD 5 ======================================================== Facet_grid with GGPLOT2
======================================================== With Base ======================================================== 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

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

Other example A ====================================

## Warning: package 'Rcmdr' was built under R version 3.4.3

## Loading required package: splines

## Loading required package: RcmdrMisc

## Warning: package 'RcmdrMisc' was built under R version 3.4.3

## Loading required package: car

## Warning: package 'car' was built under R version 3.4.3

## Loading required package: sandwich

## Warning: package 'sandwich' was built under R version 3.4.3

## Loading required package: effects

## Warning: package 'effects' was built under R version 3.4.3

## Loading required package: carData

## 
## Attaching package: 'carData'

## The following objects are masked from 'package:car':
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##     Guyer, UN, Vocab

## lattice theme set by effectsTheme()
## See ?effectsTheme for details.

## The Commander GUI is launched only in interactive sessions

## Warning: package 'GGally' was built under R version 3.4.3

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## The following object is masked from 'package:GGally':
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## -------------------------------------------------------------------------

## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)

## -------------------------------------------------------------------------

## 
## Attaching package: 'plyr'

## The following objects are masked from 'package:dplyr':
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##     arrange, count, desc, failwith, id, mutate, rename, summarise,
##     summarize

## Warning: package 'lubridate' was built under R version 3.4.3

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## Attaching package: 'lubridate'

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##     date

## Warning: package 'rgl' was built under R version 3.4.3

B

C

D

HISTOGRAM

COLOR

TEXT LABEL ========================================================

BOXPLOT

CONNECTION MAP ========================================================

## Warning: package 'tidyverse' was built under R version 3.4.3

## -- Attaching packages -------------------------------------- tidyverse 1.2.1 --

## v tibble  1.3.4     v purrr   0.2.4
## v tidyr   0.7.2     v stringr 1.2.0
## v readr   1.1.1     v forcats 0.2.0

## Warning: package 'tidyr' was built under R version 3.4.3

## Warning: package 'readr' was built under R version 3.4.3

## Warning: package 'stringr' was built under R version 3.4.3

## Warning: package 'forcats' was built under R version 3.4.3

## -- Conflicts ----------------------------------------- tidyverse_conflicts() --
## x plyr::arrange()          masks dplyr::arrange()
## x lubridate::as.difftime() masks base::as.difftime()
## x readr::col_factor()      masks scales::col_factor()
## x purrr::compact()         masks plyr::compact()
## x plyr::count()            masks dplyr::count()
## x lubridate::date()        masks base::date()
## x purrr::discard()         masks scales::discard()
## x tidyr::extract()         masks magrittr::extract()
## x plyr::failwith()         masks dplyr::failwith()
## x dplyr::filter()          masks stats::filter()
## x lubridate::here()        masks plyr::here()
## x plyr::id()               masks dplyr::id()
## x lubridate::intersect()   masks base::intersect()
## x dplyr::lag()             masks stats::lag()
## x plyr::mutate()           masks dplyr::mutate()
## x dplyr::recode()          masks car::recode()
## x plyr::rename()           masks dplyr::rename()
## x purrr::set_names()       masks magrittr::set_names()
## x lubridate::setdiff()     masks base::setdiff()
## x purrr::some()            masks car::some()
## x plyr::summarise()        masks dplyr::summarise()
## x plyr::summarize()        masks dplyr::summarize()
## x lubridate::union()       masks base::union()

## Warning: package 'maps' was built under R version 3.4.3

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## Attaching package: 'maps'

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## Warning: package 'geosphere' was built under R version 3.4.3

DENSITY

## Rattle: A free graphical interface for data science with R.
## Version 5.1.0 Copyright (c) 2006-2017 Togaware Pty Ltd.
## Type 'rattle()' to shake, rattle, and roll your data.

MARGINAL HISTOGRAM FOR GGPLOT2

## Warning: package 'ggExtra' was built under R version 3.4.3

##                    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

ANNOTATION

SPYWEB ======================================================== RADAR 1 ======================================================== RADAR 2 ========================================================

CIRCULAR BARPLOT

STACK PLOT

TREEMAP

## Warning: package 'treemap' was built under R version 3.4.3

TREEMAP ======================================================== TREEMAP ========================================================

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

## Warning: package 'gsubfn' was built under R version 3.4.3

## Loading required package: proto

## Warning: package 'proto' was built under R version 3.4.3