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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:
- Data cleansing techniques to make numerical datasets easier to read and interpret
- Complex algorithms that aim to solve a wide range of problems from predicting stock prices to optimizing machine learning models
- Advanced visualizations that reveal important trends across different industries
- Automated tools that make digital transformation faster for businesses
- Statistically sound research methods for solving complex problems
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?Daripada 32,442 ulasan, klien menilai R Programmers 4.85 daripada 5 bintang.
Upah R Programmers
I am looking for someone to help with R script. Most of the script is there, but there are a few bits in the code which require extracting information from online databases. I can't get this to work. The task involves getting the code up and running so that it generates the csv output file at the end of the code. The two main inputs that i can't get to work are 'clay' - i think this extracts information from the library(slga) and the weather file. This extracts data from an online weather file located on long paddock website. Please get code running so that all i have to do is change the directory and it's ready to go. Please view code attached.
I am looking for a freelancer who can help me with linear programming for my caravan park management project. I want to maximize profits and need someone who has experience with Excel Solver to help me with the following: - Analyzing my existing data and constraints for the linear programming model - Developing a linear programming model that can maximize profits for my caravan park management project - Implementing and testing the solution to ensure it meets my requirements The ideal candidate should have the following skills and experience: - Proficient in Excel Solver and linear programming - Experience in caravan park management or a similar industry - Strong analytical and problem-solving skills - Excellent communication and project management skills If you meet these require...
I am looking for someone to develop an app (shinyR) that will provide a user interface for some existing R code (attached). in the app the user will be able to enter a few inputs to a model and then the app will spatially visualise the data as a spatially resolved map. I will provide more details, but at this stage i need to know roughly how much this will cost.
I am looking for a skilled data scientist to join my team and help us with our data analysis project. Our goal is to go through the data we have and develop insights, predictive models and machine learning algorithms for us to use. This project does not assume any prior knowledge or programming language preference, so anyone who has a solid scientific understanding of data is preferred. We are working with structured data, such as spreadsheets, that will require some creativity for the underlying analysis. This is an interesting opportunity to make an impact and help us find valuable insights in the data.
I am looking for a skilled developer to create a trading algorithm strategy for stocks. The algorithm should be designed to operate at a moderate level of risk. Although I have some ideas for indicators and technical analysis tools, I am open to suggestions on how to best execute the strategy. Ideal skills and experience for this project include: - Experience in developing trading algorithms for stocks - Knowledge of technical analysis tools and indicators - Strong understanding of risk management and portfolio diversification - Ability to communicate effectively and collaborate with the client to ensure the project meets their requirements.
I am looking for a freelancer who is skilled in R programming for a statistical modeling project. The goal of the project is to analyze and model data using R programming. The freelancer will need to find a suitable dataset to work with. The level of complexity required for the statistical modeling is intermediate. The ideal candidate should have experience in statistical modeling using R programming and be able to find and manipulate datasets. You will be required to do a Bayesian analysis. Data that has to be taken should be of Newzealand. Not less that 10 variables. 3 years of data. Data should be on 3 things, so 3 data needed. On weather, pollution and health.
I need a Master Data File for the following: - All Current Professional Rugby Union and Rugby League Teams in the World - National Teams - Club Teams - Home Stadiums ( Capacity, Location, Factsheet) - Full Squad History since inception to current day (Filterable) - Club Crests Logos - Past Results - Previous Trophys Acolades - Future Fixtures (Where possible) - Leagues they play in - tournaments they play in All Data should be able to be filtered by Region Country Club Player Position Tries Scored Points Scored Conversions Scored Penalties Scored Trophies Won Tournament League Player Height Player Weight Age Nationality I want it to be the most comprehensive Rugby statistical Database in the world. It will be then automated into a search engine to create a Rugby Encylopedia. I r...
The timeframe for this project is within 3 months, and I expect both visualizations and a written report as the output. Ideal skills and experience for this project include: - Proficiency in data analysis and machine learning techniques - Experience working with mortgage default data - Ability to create visualizations and reports that clearly communicate insights and findings - Strong attention to detail and ability to meet deadlines Title: Comparative Analysis of Interpretable Models for Mortgage Default Prediction Abstract: This project aims to investigate and compare the effectiveness of various interpretability methodologies for mortgage default prediction. We will employ the expertise of data scientists to explore three different techniques: Partial Dependence Plots (PDPs), LIME...
Looking for a ROS freelancer with intermediate expertise. The project requires the freelancer to accomplish specific tasks using ROS. We have specific hardware and sensor requirements, with cameras being a must-have. The ideal candidate should have advanced expertise in ROS and be able to work independently to complete the project.
I am looking for a freelancer who is experienced with programming in R Studio and web scraping as well as having some level of understanding in finance. The websites I will provide for the data to be scraped from are already known to me, so no need to suggest any new ones. In addition, I need the freelancer to create graphing and visualization of the data that is scraped so that the raw data can be easily understood. The level of finance knowledge I'm looking for is at a basic understanding - nothing too complex. It would be a bonus if you were fluent in statistics, building models and high end analytics. I have other folks that can do that, but the more conversant or fluent you are, the better.
I am looking for an individual with expertise in both descriptive and inferential statistics to conduct a statistical analysis. I currently do not have the necessary data to do the analysis but I'm willing to procure it through the help of the freelancer. This analysis is for general interest purposes. The successful freelancer would be able to confidently work through the different steps necessary to effectively complete the statistical analysis including data collection, exploratory data analysis, model specification, selection, and assessment. The final output must meet the highest quality standards. Please feel free to get in touch if you have any other questions.
Need an expert in R programming language urgent
Cálculo da DL50 e DL90 com o recurso ao Probit Analysis (SPSS)
Looking for an advanced R programmer to conduct data analysis on a specific data set provided by me. The task include changing the data source defined in the R script which is right now conneting to a Database to point to Excel file. and perform the same steps and calculations as it be doing right now on an Databse table. The ideal candidate should have: - Advanced level expertise in R programming - Experience in data analysis - Strong ability to work with large data sets - Knowledge about database and excel connection in database. - Excellent communication skills - Ability to work independently and meet deadlines If you are interested in this project, please provide your portfolio and relevant experience. Minimum 10 years programming experioence on R is required.
Devo analizzare dei dati con l’ausilio del programma R Project (NON R Studio), sarei grato se qualcuno mi rispondesse per incaricarsi del lavoro
This study aims to investigate the impact of technology integration on student engagement and learning outcomes in educational settings. As technology continues to play an increasingly prominent role in classrooms, it is essential to understand how its integration influences student learning experiences. This research project employs a mixed-methods approach, combining quantitative measures of student engagement and learning outcomes with qualitative data to provide a comprehensive analysis. Technology has become an integral part of modern education, with schools and educators embracing its potential to enhance teaching and learning. This study focuses on examining the effects of technology integration on student engagement and learning outcomes. Student engagement refers to the level of ...