RTutor

Summary: RTutor is an application that uses Artificial Intelligence to analyze data through natural language.

Monthly Visitors12.3K

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What is RTutor?

RTutor is an application that uses artificial intelligence to let users interact with their data in a natural way. It creates R code to examine the data and gives users plots and numbers as results.

How to use RTutor?

To use RTutor, begin by importing a dataset in a format such as CSV, TSV/tab-delimited text files, or Excel. Next, simply ask questions or make requests about the data using everyday English. The AI system then creates R code based on your queries. This code is run in a Shiny environment to show the results. The user can then refine and validate the generated code for more in-depth analysis.

Features

RTutor's main features include uploading and examining datasets, inquiring about data in everyday language, creating R code for analysis and visualization, and offering interactive plots and numeric results. It also lets users pick up where they left off with previous code chunks and keeps a record of all code for reproducibility.

Use Cases

RTutor is useful for many tasks, like examining data, creating visual representations, and doing basic statistical calculations. It is especially helpful for people who already know some R coding and want to make their coding process faster and get a starting code to try out and improve. Individuals, students, and researchers in many fields can use it.

Frequently Asked Questions

RTutor is an AI-powered tool that lets users talk to their data in everyday language. It creates R code to examine the data and gives users graphs and numbers as answers.

To use RTutor, begin by importing a dataset in CSV, TSV, or tab-delimited text files, or Excel format. Next, ask questions or make requests about the data using simple English. The AI system creates R code based on your queries. This code is then run in a Shiny environment to show results. The created code can be improved and checked by the user for more analysis.

RTutor is a user-friendly Artificial Intelligence (AI) powered application. It lets users interact with their data using everyday language. The app creates R code for data analysis. It also gives users plots and numeric results as output.

The requests are forwarded to OpenAI's AI system, which generates R code in response. This code is then run in a Shiny environment, showing the results or any error messages that occur. Multiple requests are tracked and recorded to create an R Markdown file, enabling record keeping and reproducibility.

Not entirely. Although RTutor can assist with data visualization and exploratory data analysis, the produced code might not always be accurate. Having some prior R coding knowledge is advisable for a clearer understanding and confirmation of the produced code.

RTutor mainly helps people who already know some R coding to learn more and work more efficiently with R. It can speed up the coding process and give a starting point for further improvement and verification.

To achieve accurate results, it's suggested to reword the question or request and attempt multiple runs with different parameters. Higher temperature settings can offer varied options. Users can also verify the results from multiple runs for consistency.

No, RTutor is not meant to substitute thorough learning and verification of R coding skills. To assess the accuracy of the generated code, it's best to acquire a solid understanding of R coding fundamentals.

No. RTutor is currently accessible to non-profit organizations only. The website and its source code are freely accessible for academic and non-profit purposes under the CC BY-NC 3.0 license.

RTutor can be downloaded and installed locally as an R package. An API key from OpenAI is necessary to utilize the application.

OpenAI's language model contains natural unpredictability that can be managed by changing settings like 'temperature'. Increasing the 'temperature' setting leads to more varied options. Multiple tests should be run and results compared for consistency.

The cost for each session can vary from $0.01 to $0.1, based on how many requests are made. A monthly limit on usage exists, and going over this limit might cause the website to stop working for the rest of the month. Users who access the site often are advised to get their own API key.

No, RTutor cannot take the place of statisticians or data scientists. However, it can make their work easier by giving them a starting code and helping with data analysis.

A useful method is to picture having a summer intern with fundamental statistics and R skills. Provide the intern with instructions and examine the code and results they send back. The code produced by RTutor can be viewed as the output of this intern, who works quickly but may make mistakes.

No, the installation of R packages within AI-generated code is not allowed. However, the top 5000 most commonly used R packages have been pre-installed on the server.

Files exceeding 10MB in size are not allowed to be uploaded directly to the RTutor website. Working with smaller data portions is suggested, or you can download the RTutor R package and run it on your computer locally.

In situations like this, it's best to open a new browser window rather than adding another tab. This action will assign a new worker process to you. Alternatively, you can also try visiting the mirror site at http://149.165.170.244/.

Voice input may not function if your web browser is restricting the website's access to the microphone. Make sure to access the site through the secure link https://RTutor.ai, as using the non-secure link http may block microphone access in the Chrome browser. Move closer to the microphone and ensure only one browser tab is using the microphone.

No. The picture on the website does not belong to me. It was created using Artificial Intelligence by typing in the prompt 'statistics tutor' and producing the image with Stable Diffusion 2.0. Certain imperfections, such as the distorted fingers, can be seen when looked at closely.

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