Red-R is an open source visual programming interface for those who use R programming language in order to analyze and manipulate large data flows.
It's an extension of Orange, a data mining framework written in Python and Qt. It's really easy-to-use and sports a rather intuitive graphical interface, packed with lots of useful tools.
Clean and easy-to-use graphical interface
The framework doesn't take long to install and it doesn't have a complicated setup that you would need to complete. It automatically detects if your computer has certain data packages installed and grabs them off the internet if you don't.
Red-R is not actually used for writing code, but for analyzing data sets and information they contain, by creating widgets and links between them.
Analyze multiple data sets
The first thing that you need to do after launching Red-R is to create widgets and set links between them. There are many steps that you must complete until the framework is finished, but firstly assign files to each of the widget.
You can import whichever file you want from your computer, as long as it has the following formats .txt, .csv, .tab or .xls. Pick the type of file, choose between text, excel or clipboard and check the file preview. You can also add a column separator, name columns and row or set the application to skip certain lines.
Create widgets and schemes
Datasets are loaded in a different widget, double click on it to view them. You can merge information, check data classification, subsettings, stats and the R code. Other than that, it allows users to import their own pipelines or schemes in .rss or .rrts formats.
There's the option to work on multiple data sets at the same time, simply add another tab to the main window and create new pipelines and schemes. The framework even allows users to create reports, with the click of one icon it generates a detailed text report with all of the data sets.
All in all, Red-R is a very nice framework for working with data sets, creating widgets and manipulating information.

 

 

 

 

 

 


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If you are looking for a simple easy-to-use data mining and analysis software, this is the perfect tool for you. If you don’t want to go through the hassle of learning R (which is quite complicated), then Red-R Crack Mac is your best option.
The visual programming interface lets you create pipelines in a matter of minutes. You can add new widgets and modify existing ones, as well as setting custom commands. Users will also have the option to write their own code in R and/or import their own schemes.
It features intuitive graphical tools and well-structured icons. You can access all information about your data sets on a single interface.
You can add as many widgets as you want. Once the data is added to a widget, you can manipulate it and see results by simply double clicking on it.
Most of the features are pretty intuitive, but some people might find it confusing to create new widgets. The basics are really easy to figure out, and you can always learn more about widgets by watching tutorials on Youtube.
You can combine multiple widgets on a single interface, which is a great thing because you don’t have to deal with messy files anymore.
To create and manipulate data, users need to write R code. All information on the data set is shown on the interface, allowing you to build pipelines and modify information in real time.
All of the options are easily accessible, even if you don’t have any programming knowledge. You can set any command by simply clicking on it, without knowing anything about programming languages.
As the software requires an internet connection to check for updates, you might encounter some stability issues. If you’re a novice, it’s recommended to start with an offline version, or download updates and install them on a different machine.

Basic features

Ease of use

Disadvantages

The workflow is really simple

Some people might find it confusing to create new widgets

My Opinion

Red-R Crack For Windows is one of the best visual programming interfaces for working with data sets. In addition to having a very intuitive GUI, it’s extremely stable. You can set any command by simply clicking on it. The interface features informative icons, allowing you to work without any problems.
To be honest, I didn’t find much to criticize about this software. It might take some time to set up and some of the


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This is a user-friendly graphical macro for Mac and Windows OS. You can paste data on your Mac or Windows OS and create visual macros to make your work with data sets easier. You can even create custom macros, import existing macros and change their parameters.

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Feature-rich platform for R
Data Mining and Machine Learning

R – Statistical Computing R (function to count occurence of values)

published:19 Nov 2018

views:1682

This is an R function that calculates the counts of occurence of a specific value in a vector. You can give any number, sequence, factor value, or character value to the argument ‘value’. You can pass either one or two arguments. If you pass a single argument to the function, it takes the default as argument ‘value’.
# count occurence of a specific value in a vector
# Define value, where value is either one or two arg
# R character vector is passed as vector parameter
# Calculates the counts of occurence of the value in the vector
# Returns sum of each occurence of the values in vector
countOccurrence

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System Requirements For Red-R:

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Mac OSX 10.5 or higher (64-bit processor)
2 GB RAM
1024 x 768 display resolution
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