R Programming Language jobs

R is an open source programming language for statistical computing and graphics, it is widely used by statisticians and data miners. Hire R Programmers

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    Make WinBugs Code work in R 6 days left
    VERIFIED

    I have a snippet of WinBugs code that I need to make work in R, it may or may not need some modifications to make it work. I have never used Winbug before and don't know how to run this code. I need help properly running the code and then modifying it as necessary.

    $95 (Avg Bid)
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    SAS Developer 6 days left

    We are looking for a developer with knowledge / experience in SAS: Analyze SAS code already written Write new SAS code Participation in user acceptance test The initial duration will be from asap until 31.March.2018 Mönchengladbach-Germany Essential: Advanced English at the oral level. Work environment in English 100% In foreign applications it is essential to have a valid work visa or have dual citizenship (being one of them EU).

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    It is an Anova Table and Statistical Analysis in R. I will give the details later.

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    It is a project on Bayesian Inference using OpenBUGS.

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    Twitter Sentiment Analysis using R

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    Hello - I am looking for a forecast model to help my team plans sales. We have multiple restaurants (over 50) and are looking for a model that using historical trends, seasonality and the appropriate algorithm (exponential smoothing, regression, etc) to give the most accurare forecast. The model should be able to do the following: - suggest daily, weekly, period and annual forecasts by restaurant, area (6-10 restaurants), region (30-50 restaurants) and company - take seasonality, cannibalization, holidays, daylight savings, etc into account - forecast sales by occasion (second phase) - delivery, take-out or dine-in - remove anomalies/irregularities from data - forecast new unit growth Ideally we would create in excel and may have a SQL backend. We have sales history for every unit

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    Stagecoach Software publishes www.propertynerd.com.au. Our website contains millions of profiles of residential properties in Australia (e.g. [url removed, login to view]). Our MySQL database contains hundreds of millions of rows of data which are relevant to predicting sales prices for those properties. This project is to build a capability to display an estimated current value for each of the properties we profile. We have already retained an experienced and qualified data scientist from Sweden who has developed a price prediction model in R. We now need a developer who is proficient in R and Ruby to convert the R code into ruby and work with the current data scientist to ensure the ruby code is accurate. The ideal applicant will be one who is also experienced with Ruby on Rails and can create a function on the app to display the calculated price on the existing prices graph via a [url removed, login to view] script. A higher fee will be paid to the freelancer who can do this additional task. The existing code is fully commented and will be provided to suitable applicants.

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    This project involves GARCH models, so a freelancer who has knowledge in econometrics and finance is preferred.

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    Need a stata expert for statistics task.. need to revise a task..

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    Dataframes R Studio 5 days left
    VERIFIED

    The R environment has some ready-made datasets that you can see with function data (). Tasks 1. Build a dataframe containing the following columns for the 50 US states (vectors): state name, population, area (name, pop, area). Its lines dataframe must not have names. The column with the names of the states should not to have the factor structure. Use the stacked data sets [url removed, login to view] and state.x77. 2. Build a function called popdens that accepts as input two numbers corresponding to the population and area of ​​an area, and return as a result, the population density for this region. 3. Add an extra column to the dataframe of query 1 with a density name of contains the population density for each state. Use for calculation of the density of the function of question 2. 4. Add an extra column to the dataframe of query 1 with a percentage name of contains the percentage of the population of each state in relation to the total US population. 5. Add an extra column to the dataframe of query 1 with div name contains the geographical area owned by each state. Use the ready [url removed, login to view] data set. This new column must have the factor structure. 6. Construct the frequency table for geographic categories apartments. Then, based on the frequency table, build one pie chart. The chart must have a general title and use it colors of the rainbow. 7. Create a new dataframe that contains the same data as the previous one, but sorted in descending order of the population density column. 8. Save the new dataframe to a file called usa.csv. The file must be contains the column names as headings, but not the names for the lines. The values ​​on each line must be separated by the semicolon (;) character.

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    I have to use the random forest algorithm to impute missing values in a given dataset. The original dataset will also be given. The imputation quality is measured using the NRMS value. The nrms value should be low

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    I have to use the random forest algorithm to impute missing values in a given dataset. The original dataset will also be given. The imputation quality is measured using the NRMS value. The nrms value should be low

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    Hello I need help with a project! I will attach the instructions and the data needed! I also need a leg 3 analysis

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    I need a R programming expert for my current project. If you have knowledge please bid. Details will be shared in message with the selected freelancers.

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    I need a R programming expert for my current project. If you have knowledge please bid. Details will be shared in message with the selected freelancers.

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    I need a R programming expert for my current project. If you have knowledge please bid. Details will be shared in message with the selected freelancers.

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    Data Mining Homework (R) 4 days left
    VERIFIED

    Hello, I'm having hard time to do my data mining homework in R. It's for my master degree and I don't have much time. I'm not that bad so I should be able to understand what you've done. I'll send you the complete details of the homework you'll have a 4601 x 58 table in a .csv file whi([url removed, login to view]). This .csv file got informations regarding a company that is trying to identy non-spam or spam email. With this you'll need to do in R : -Do an ACP -Do an AFD Explain why those techniques are not enough for the analysis. Then in R do : -Neural analysis -SVM Say wich one is the best Conclusion : explain the difference of those techniques what makes one better than the other Let me know !

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    Need a statistician 3 days left
    VERIFIED

    i need some model equations and later a code in either R or matlab. more details will be shared later

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    I need to learn how to download the GCM data for AR5 (CMIP 5) both daily and monthly rainfall and temperature data. the downloading will be learnt from a specific location and how to process the downloaded NetCDF file into a daily or monthly data set. this can then be converted to text file. The processing will be and conversion can be done in MATLAB or R language. this is just for me to learn how to do it with few examples. I don't need it to be down for me but I need to be taught.

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    Hi, I need to optimize code in R. I already have my own code, but not in loop function. the code is for drawing a simple interval line plot. I had produced the graph I wanted but needed someone to optimize the code using for loop. The plot is attached here. I have all the basic code and data. Just need some polish and optimize it since I don't use 'for' loop in my basic code.

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