R Instructor Hack 2.2.1 + Redeem Codes
Developer: Shidan C. Murphy
Category: Reference
Price: $2.99 (Download for free)
Version: 2.2.1
ID: com.introtor.com
Screenshots
Description
R is a free statistical, visualisation and data manipulation software. Anyone who works with data can benefit from using R but it is hard to learn.
Created by scientist and educator Dr Shidan Murphy, R Instructor is a statistical and R reference guide. The application uses plain, non-technical language and over 35 succinct videos to guide new users and reinforce concepts for advanced R users. The number and scope of the videos and content will continue to increase.
R Instructor will teach you how to use R, how to make and modify plots and run statistical tests. Each example includes a very brief (and easy to understand!) description of the function or test, any statistical assumptions, how to structure your data in R, the R scripts (code) and, links to other free and online resources. Where appropriate, the Mac, Windows and RStudio versions of the R interface are explained separately.
R Instructor also allows you to run RStudio through the web from your iPad or iPhone (Note: This is a public server that requires an internet connection -- do not expect to accomplish serious computing)
In addition, R Instructor comes complete with 10 Quick Reference guides and the "Which Test?" feature. The "Which Test?" feature guides you to the correct statistical test after you answer questions related to your data.
See a demonstration of R Instructor at, www.Rinstructor.com
Use R Instructor to...
Run a public web server implementation of RStudio (do not expect serious computing power -- this server is for testing and debugging scripts)
Learn R's fundamentals:
- R's interface
- Create objects
- Install libraries\packages
- Import and export data and plots
- Merge data frames
- Exclude redundant data between datasets
- Import dates
- Create custom functions
- Summarize data frames and matrices
- Perform calculations
- and more...
Learn how to make and customize plots:
- qplots from ggplot2
- Box plots
- Bar plots
- Histograms
- Line charts
- Scatter plots and scatter plot matrices
- Add and customize legends
- Add custom axis labels
- Modify the size, shape and colour of point markers
- Add axis titles
- Add lines, text or points to an existing plot
- Add colour to the plot background, border lines… and just about anything else!
Learn these (and more) statistical tests:
- One-sample t-test
- Two-sample t-test
- Paired t-test
- Correlation
- Rank correlation
- Linear regression
- Multiple regression
- Logistic regression
- Log-linear models
- F-test
- One-way ANOVA
- Two-way ANOVA
- One-way repeated measures ANOVA
- Two-way repeated measures ANOVA
- Regression and Classification trees
- ANCOVA
- MANOVA
- Principal Components Analysis
- Linear discriminant function analysis
- Redundancy analysis
- Friedman test
- Wilcoxon signed rank test
- Kruskal-Wallis test
- Chi-square test of independence
- Binomial test
- Hierarchical clustering
- and more…
Plus,
- Over 35 videos (that's over two hours)
- 10 Quick Reference Guides
- The "Which test?" feature – An assistant to guide you to the appropriate statistical test
Created by scientist and educator Dr Shidan Murphy, R Instructor is a statistical and R reference guide. The application uses plain, non-technical language and over 35 succinct videos to guide new users and reinforce concepts for advanced R users. The number and scope of the videos and content will continue to increase.
R Instructor will teach you how to use R, how to make and modify plots and run statistical tests. Each example includes a very brief (and easy to understand!) description of the function or test, any statistical assumptions, how to structure your data in R, the R scripts (code) and, links to other free and online resources. Where appropriate, the Mac, Windows and RStudio versions of the R interface are explained separately.
R Instructor also allows you to run RStudio through the web from your iPad or iPhone (Note: This is a public server that requires an internet connection -- do not expect to accomplish serious computing)
In addition, R Instructor comes complete with 10 Quick Reference guides and the "Which Test?" feature. The "Which Test?" feature guides you to the correct statistical test after you answer questions related to your data.
See a demonstration of R Instructor at, www.Rinstructor.com
Use R Instructor to...
Run a public web server implementation of RStudio (do not expect serious computing power -- this server is for testing and debugging scripts)
Learn R's fundamentals:
- R's interface
- Create objects
- Install libraries\packages
- Import and export data and plots
- Merge data frames
- Exclude redundant data between datasets
- Import dates
- Create custom functions
- Summarize data frames and matrices
- Perform calculations
- and more...
Learn how to make and customize plots:
- qplots from ggplot2
- Box plots
- Bar plots
- Histograms
- Line charts
- Scatter plots and scatter plot matrices
- Add and customize legends
- Add custom axis labels
- Modify the size, shape and colour of point markers
- Add axis titles
- Add lines, text or points to an existing plot
- Add colour to the plot background, border lines… and just about anything else!
Learn these (and more) statistical tests:
- One-sample t-test
- Two-sample t-test
- Paired t-test
- Correlation
- Rank correlation
- Linear regression
- Multiple regression
- Logistic regression
- Log-linear models
- F-test
- One-way ANOVA
- Two-way ANOVA
- One-way repeated measures ANOVA
- Two-way repeated measures ANOVA
- Regression and Classification trees
- ANCOVA
- MANOVA
- Principal Components Analysis
- Linear discriminant function analysis
- Redundancy analysis
- Friedman test
- Wilcoxon signed rank test
- Kruskal-Wallis test
- Chi-square test of independence
- Binomial test
- Hierarchical clustering
- and more…
Plus,
- Over 35 videos (that's over two hours)
- 10 Quick Reference Guides
- The "Which test?" feature – An assistant to guide you to the appropriate statistical test
Version history
2.2.1
2020-09-23
Bug fixes
Speed improvements
Server fixes
Additional content
Speed improvements
Server fixes
Additional content
2.2
2020-06-20
- Brand new design
- Added Search feature
- Additional content
- Improved RStudio web server
- Bug fixes
- Added Search feature
- Additional content
- Improved RStudio web server
- Bug fixes
2.1.4
2017-08-18
Rewritten core code.
Content additions, improvements and bug fixes.
Content additions, improvements and bug fixes.
2.1.3
2014-02-20
Rebuilt for iOS7
Additions to base plots section:
1. Add a grid
2. Add and modify arrows
- change arrow head shape
- change arrow head length
- change arrow color
- change arrow line width
- change arrow line type
- change arrow head angle
3. New qplot section (requires ggplot2):
How to make qplots:
- Boxplot
- Histogram
- Density histogram
- Frequency polygon
- Line chart
- Path plot
- Scatter plot
- Conditional smoother
4. Modifications to above qplot section:
- add color, either specific colour or according to a third variable
- add title or change title font size
- add facets
- adjust line widths and point sizes
— there will be a lot more material on ggplot2 coming in the next update —
Additions to base plots section:
1. Add a grid
2. Add and modify arrows
- change arrow head shape
- change arrow head length
- change arrow color
- change arrow line width
- change arrow line type
- change arrow head angle
3. New qplot section (requires ggplot2):
How to make qplots:
- Boxplot
- Histogram
- Density histogram
- Frequency polygon
- Line chart
- Path plot
- Scatter plot
- Conditional smoother
4. Modifications to above qplot section:
- add color, either specific colour or according to a third variable
- add title or change title font size
- add facets
- adjust line widths and point sizes
— there will be a lot more material on ggplot2 coming in the next update —
2.1.2
2013-08-14
- Bug Fixes and code tweaks
- Classification and Regression Tree video
- Classification and Regression Tree video
2.1.1
2013-07-05
Bug fixes & visual improvements
New Content is listed below.
Data summarization:
- Transpose function
- Reshape function, wide to long datasets
- Reshape function, long to wide datasets
Statistical tests:
- Discriminant function analysis
- Redundancy analysis
Plotting Section:
- Box plot, line style alterations
- Box plot, line width alterations
- Box plot, plot labels
- Box plot, axis labels
- Box plot, horizontal and vertical orientations
- Box plot, estimate significance of the median
- Box plot, whisker length
- Box plot, box width (proportional to sample size and relatively to other box plots)
- Box plot, remove outliers
- Box plot, outlier style
- Box plot, outlier size
- Box plot, add a box plot to another plot
- Box plot, fill color of a box plot's outline
- Box plot, fill color of a box plot
- Bar plot, beside vs stacked
- Bar plot, add bar shading
- Bar plot, change the shading angle
- Bar plot, set bar width
- Bar plot, set bar spacing
- Bar plot, add group names
- Bar plot, add labels or titles
- Bar plot, add a legend
- Bar plot, outline color of a bar plot
- Bar plot, fill color of a bar plot
- Histogram, add shading
- Histogram, add bar labels (counts of observations)
- Histogram, specify break points
- Histogram, specify end points (left or right)
- Histogram, add axis and plot titles
- Histogram, outline color of a histogram
- Histogram, fill color of a histogram
- Line Chart, line width
- Line Chart, line style
- Line Chart, line color
- Scatter plot, point outline width (re-done)
- Scatter plot, change point shape (re-done)
- Scatter plot, alter point size (re-done)
- Add or alter text, alignment
- Add or alter text, change color
- Add or alter text, font
- Add or alter text, size
- Add or alter text, rotation
- Add or alter text, style
Consolidated content and improved:
- "Add, alter lines or points"
- "Add Color to..."
New Content is listed below.
Data summarization:
- Transpose function
- Reshape function, wide to long datasets
- Reshape function, long to wide datasets
Statistical tests:
- Discriminant function analysis
- Redundancy analysis
Plotting Section:
- Box plot, line style alterations
- Box plot, line width alterations
- Box plot, plot labels
- Box plot, axis labels
- Box plot, horizontal and vertical orientations
- Box plot, estimate significance of the median
- Box plot, whisker length
- Box plot, box width (proportional to sample size and relatively to other box plots)
- Box plot, remove outliers
- Box plot, outlier style
- Box plot, outlier size
- Box plot, add a box plot to another plot
- Box plot, fill color of a box plot's outline
- Box plot, fill color of a box plot
- Bar plot, beside vs stacked
- Bar plot, add bar shading
- Bar plot, change the shading angle
- Bar plot, set bar width
- Bar plot, set bar spacing
- Bar plot, add group names
- Bar plot, add labels or titles
- Bar plot, add a legend
- Bar plot, outline color of a bar plot
- Bar plot, fill color of a bar plot
- Histogram, add shading
- Histogram, add bar labels (counts of observations)
- Histogram, specify break points
- Histogram, specify end points (left or right)
- Histogram, add axis and plot titles
- Histogram, outline color of a histogram
- Histogram, fill color of a histogram
- Line Chart, line width
- Line Chart, line style
- Line Chart, line color
- Scatter plot, point outline width (re-done)
- Scatter plot, change point shape (re-done)
- Scatter plot, alter point size (re-done)
- Add or alter text, alignment
- Add or alter text, change color
- Add or alter text, font
- Add or alter text, size
- Add or alter text, rotation
- Add or alter text, style
Consolidated content and improved:
- "Add, alter lines or points"
- "Add Color to..."
2.1
2013-05-22
- Search algorithm improvements
- Visual improvements, especially for the iPad
- Optimizations and bug fixes
- Check out the new forum
** Significant content expansion coming in the next update **
- Visual improvements, especially for the iPad
- Optimizations and bug fixes
- Check out the new forum
** Significant content expansion coming in the next update **
2
2012-12-20
- R can now be run from your iPhone and iPad (internet connection required)
- iOS6 and iPhone 5 compatibility
- Bug fixes
- Cosmetic improvements
- Reduced application size
- Modest content expansion
- iOS6 and iPhone 5 compatibility
- Bug fixes
- Cosmetic improvements
- Reduced application size
- Modest content expansion
1.5
2012-09-02
***** NOTE *****
You must download this update to ensure all features of R Instructor (including some of the old content) continues to function. *****
iOS updates:
General code optimizations and bug fixes.
Disabled mute button, the volume controls regulate audio volume.
The following videos can now be viewed without an internet connection
1. How to make a histogram
2. Introduction to plotting
3. Linear Correlation
4. Linear Regression
5. One-way ANOVA
6. One-sample T-test
7. Two-sample T-test
8. Paired T-test
9. MANOVA
10. ANCOVA
Content expansion
- More information and videos on indexing
- ANCOVA video and written instructions
- An entirely new section on legends
- How to exclude redundant data between datasets
- More and upgraded visual examples
- The apply() function
- How to calculate lagged-differences: diff() function
- How to convert data structures (matrix to list, list to data frame... etc)
- A video on importing data (.csv and .txt files)
- Comparison of the test statistics used in MANOVA.
- How to use and select colours (Plotting -> Add Colour to… -> Selecting colours)
- Three new quick reference guides:
1. Point style guide (all the point styles controlled by pch)
2. Line style guide (all the lines styles controlled by lty)
3. Colour() selector table
Please keep the suggestions coming, I'm always happy to incorporate new content into this application… and don't forget to rate this application 5-stars!
[email protected]
Enjoy,
Shidan
You must download this update to ensure all features of R Instructor (including some of the old content) continues to function. *****
iOS updates:
General code optimizations and bug fixes.
Disabled mute button, the volume controls regulate audio volume.
The following videos can now be viewed without an internet connection
1. How to make a histogram
2. Introduction to plotting
3. Linear Correlation
4. Linear Regression
5. One-way ANOVA
6. One-sample T-test
7. Two-sample T-test
8. Paired T-test
9. MANOVA
10. ANCOVA
Content expansion
- More information and videos on indexing
- ANCOVA video and written instructions
- An entirely new section on legends
- How to exclude redundant data between datasets
- More and upgraded visual examples
- The apply() function
- How to calculate lagged-differences: diff() function
- How to convert data structures (matrix to list, list to data frame... etc)
- A video on importing data (.csv and .txt files)
- Comparison of the test statistics used in MANOVA.
- How to use and select colours (Plotting -> Add Colour to… -> Selecting colours)
- Three new quick reference guides:
1. Point style guide (all the point styles controlled by pch)
2. Line style guide (all the lines styles controlled by lty)
3. Colour() selector table
Please keep the suggestions coming, I'm always happy to incorporate new content into this application… and don't forget to rate this application 5-stars!
[email protected]
Enjoy,
Shidan
1.02
2012-06-22
- Removed ads
- Modest content expansion (streaming video & text)
- bug fixes
Contact:
[email protected]
www.Rinstructor.com
- Modest content expansion (streaming video & text)
- bug fixes
Contact:
[email protected]
www.Rinstructor.com
1.01
2012-06-04
Audio link fixed
Bug fixes
UI improvements
typographical errors fixed
Bug fixes
UI improvements
typographical errors fixed
1.0
2012-05-23
Ways to hack R Instructor
- Redeem codes (Get the Redeem codes)
Download hacked APK
Download R Instructor MOD APK
Request a Hack
Ratings
4.8 out of 5
6 Ratings
Reviews
joaquin7506,
RStudio: the best app for R in iPad
Compared to the other three I bought that are useless, RStudio lets me study my old econometrics, follow nice implementations, get additional packages, and all under the same interface as in Mac. Kudos for RStudio and million thanks to its creator and maintainer Shidan Murphy. Joaquin Gutierrez.
Elkhanany,
Great application
I love the app. Simple interface, quick to the point cheat sheet for everyday analyses and some advanced concepts as well (such as PCA). It has a nice "which test" algorithm. Overall great app.
SimpleSoftware,
Excellent Guide & Reference
This is an excellent guide and reference worth every penny. Within minutes I was able to import and plot Excel data. The user interface is well structured allowing quick access to specific topics. It can also be used as a tutorial by simply starting at the main page and progressing through the pages in order. There are many live links to outside resources.
I use this program as my regular "R" manual on my iPad. Contrary to one reviewer (who must have been having a very bad day) I find this program extremely useful.
I use this program as my regular "R" manual on my iPad. Contrary to one reviewer (who must have been having a very bad day) I find this program extremely useful.
mrcolson,
Very Helpful App!
I am new to R, which appears to be a powerful yet confusing beast to master, and I have found this app to be a big help. The videos are short and to the point, and very good - they have helped me a lot to get up and running. I would welcome more of them. The reference material is also very good, and will be useful for those times when you can't remember exactly how to get R to do what you want. Responsive developer, as well. All in all a very nice app.
Jayape,
Great app for learning R
I'm new to the R language so I picked up this app for my iPad3. I find it very useful. The basics are well covered and the videos help show the concepts. The app comes with an interface to connect to an online version of R Studio so you can test what you learn righ inside R, very handy. The developers are helpful and responsive. I highly recommend this app if you want to learn R
Dr. Steve 2012,
Best stats app!!
This is an excellent application. This opens up many possibilities for performing statistics, it goes far beyond being a reference. R Instructor has many features to perform advanced stats, learn from the tutorials, and the instructor provides excellent customer service. I highly recommend this app!
Yuna Jhang,
Love this app
The app comes handy when you do not know where to start. Sometimes I go to google or any written instructions on how to use R, but only R-instructor gives you the most direct answer to your questions. Totally worth it!
Kasemontana,
R Instructor is great for learning R
R Instructor is great for learning R. If you are starting out with R or if you are already R, you will find something that is useful. I especially like the decisioin tree for assisting what type of statisical test you should do depending on your data.
spurgemastur,
Committed support
I bought this app mostly to run rstudio on my mobile so I've only given the instructionals a cursory look but they look like the'd be pretty helpful. The app gets high ratings because support is scary fast & effective.
THE Platter!,
Amazing app for all levels of users
There are hardly any R app in the store, but at least there is this one. It has wonderful overviews of concepts and very clear examples. Thank you for you continued work on what is already such a great app!
