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R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.
An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.
Here's some projects that our expert R Programmers made real:
By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?
From 37,205 reviews, clients rate our R Programmers 4.8 out of 5 stars.R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.
An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.
Here's some projects that our expert R Programmers made real:
By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?
From 37,205 reviews, clients rate our R Programmers 4.8 out of 5 stars.Title: Data Structures & Programming Help | Academic Writing & Coding Support Description: I am a BCA student with hands-on experience in C, Python, and DBMS. I offer affordable and reliable support for: Writing clear, exam-style code (stacks, queues, BSTs, binary trees). Debugging and explaining outputs in simple student-friendly language. Creating academic content, notes, and revision guides. Preparing structured reports or project documentation. What you’ll get: Clean, easy-to-understand code with sample outputs. Well-organized notes or reports (3–4 pages or more, depending on need). Fast delivery and revisions until you’re satisfied. Professional yet student-style work that avoids unnecessary complexity. Pricing: $5–10 per hour (or fixed...
I'm conducting a study on social emotional competence among K-12 teachers in Louisiana, focusing on 'intent to stay.' Key Requirements: - Research design and methodology - Data collection and analysis - Reporting findings Ideal Skills: - Experience in educational research - Strong analytical skills - Proficiency in statistical software
I'm conducting a study on social emotional competence among K-12 teachers in Louisiana, focusing on 'intent to stay.' Key Requirements: - Research design and methodology - Data collection and analysis - Reporting findings Ideal Skills: - Experience in educational research - Strong analytical skills - Proficiency in statistical software
I trade index and single-stock options on Indian exchanges and I’m looking for a quant who can dig deep into volatility modeling with one clear goal: sharpen my live trading strategies. You will take raw options data (primarily vix NSE/BSE), build and calibrate advanced volatility models—think GARCH variants, stochastic-vol, local-vol, surface interpolation—and translate the results into actionable entry, exit and sizing rules. Experience handling large intraday datasets, cleaning corporate-action adjustments, and coding robust back-tests in Python / R is essential; C++ or Julia skills are a plus if you can speed up the heavier calculations. Key deliverables • A fully documented research notebook or repo that pulls, cleans and stores historical option chains an...
I'm seeking a skilled quantitative developer The ideal candidate should be proficient in Python, C++, and Rust. Key Requirements: - Develop and design algorithm , including machine learning, statistical arbitrage, and high-frequency trading. - Expertise in algorithmic trading and financial markets. - Strong analytical and problem-solving skills. - Experience with data analysis and risk management. Please provide examples of previous work and relevant experience.
I have gathered a collection of randomized clinical-trial results in a single Excel workbook and want to quantify treatment-related side-effects with a fully Bayesian approach. The task is to import the Excel data, run a random-effects Bayesian meta-analysis, and extend it with meta-regressions that explore how study-level covariates influence the incidence of adverse events. I work most comfortably in R, so please build the workflow there—packages such as brms, rstanarm, bayesmeta, or similar are fine as long as the code is transparent and reproducible. If you prefer to prototype in Stata that is acceptable, but the final deliverable must run end-to-end in R. Key points to cover • Clean and prepare the Excel dataset for analysis • Specify appropriate priors and jus...
I'm looking for a skilled data analyst to help with my college project in computer science. The project involves analyzing large datasets and providing insights. Requirements: - Proficiency in data analysis tools (e.g., Python, R, SQL) - Experience with data visualization tools (e.g., Tableau, Power BI) - Strong analytical and problem-solving skills - Ability to present findings clearly Ideal Skills: - Background in computer science or related field - Experience with machine learning techniques - Good communication skills
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I’m completing a final-stage assignment that revolves entirely around numerical data and I need a skilled analyst to bring it to life. The dataset is already collected; what’s missing is a clear, insightful story that turns raw figures into actionable conclusions and well-designed visuals. Here’s what I expect: • A concise plan outlining how you will clean, explore, and model the numbers. • Meaningful visualisations that make the key findings obvious at a glance. • A short written summary (or notebook comments) explaining methods, assumptions, and recommendations, so I can confidently present the results. You may work in Excel, Python, R, or any environment you’re comfortable with—as long as the final output is reproducible. When you send ...
I'm looking for an experienced machine learning specialist to develop a model predicting the likelihood of recurrence for anterior shoulder dislocation. Data Availability: - Clinical records - Patient demographics Outcomes: - Model should predict likelihood of recurrence Labeled Data: - We have fully labeled data for training Ideal Skills and Experience: - Expertise in predictive modeling - Experience with medical datasets - Proficiency in Python, R, or similar - Strong background in clinical risk prediction models Please share relevant past projects and approaches.
Project Title: Experimental Phonetics & Phonology Research Paper Assistance Project Description: I am looking for a PhD experienced researcher or academic writer with a strong background in linguistics—specifically experimental phonetics and phonology—to assist with a research paper. The project involves support across one or more of the following areas: • Refining research questions and hypotheses • Literature review (recent and relevant academic sources) • Designing or reviewing experimental methodology • Data analysis (e.g., acoustic analysis, statistical interpretation) • Writing, editing, and structuring the paper to meet academic standards • Proper citation and formatting (APA/MLA/Chicago or as required) Requirements: • Pro...
I need a statistical model analyzing player performance data. This is required ASAP. Key Requirements: - Build a robust statistical model. - Analyze comprehensive player performance data. - Deliver insights to enhance strategic decisions. Ideal Skills: - Proficiency in statistical analysis and modeling. - Experience with sports data, particularly player metrics. - Strong programming skills in R or Python. - Ability to visualize data effectively for reporting. Please provide examples of similar work done.
I need a well-structured piece of academic-style research that zeroes in on desert ecosystems, with an emphasis on two core areas: climate and weather patterns, and soil and geology. The final paper should give me a clear picture of how temperature extremes, seasonal variations, wind dynamics and precipitation (or lack thereof) shape the physical and chemical properties of desert soils, and how those soils in turn influence landforms, erosion, nutrient cycling and overall ecosystem function. To keep this useful for both scholarly reference and practical planning, the study must weave together recent peer-reviewed literature, publicly available datasets (e.g., NOAA, NASA, FAO soils data) and any remote-sensing analyses you feel strengthen the narrative. If you have access to proprietary da...
I need to gauge the efficacy of a keynote and workshop program using sentiment analysis or a similar tool to show the before and after results from audience surveys from approximately 100 different organizations. At the beginning of the keynote/workshop I ask the audience: Text me a word that describes what you feel about life? Results 1 (Before Keynote) - 100 .csv files At the end of the keynote I ask the audience: Text me a word you are taking home with you. Results 2 (After Keynote) - 100 .csv files I need to analyse data from approximately 100 x 2 sets of .csv files - Results 1 and Results 2 Results are from audience surveys are at the beginning of the presentation and at the end of the presentation. Each audience respondent has a unique alphanumeric identifier. Files have to be ...
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