R Programming Homework Help - Answers

Get R Programming help at Tutlance. Hire the best R Programming homework helpers online cheap, easy, and fast. Post your R Programming homework questions and get answers from qualified R Programming assignment helpers.

Ready to get started? Hire an expert now.

Reliable & Fast Homework Help

Get help now (Free)
Experienced Tutors
24/7 Support
Cheapest Rates

Subjects/Fields

Recently Asked R Programming Assignment Help, Questions and Answers

We found 7 assignments related to this topic. Please note we do not publish private questions here.
Need help with R Programming homework? Get R Programming homework help and answers from the best R Programming assignment homework helpers. Find R Programming answers cheap online
Clear Search
18
Views
0
Answers
Anova Assistance and Data Analysis Assistance
(1) My data set is the WDI Dataset (2) I need help running ANOVA to analyze my data by the dependent and independent variable. (3) My dependent variable is: Corruption (4) My Independent variables are: 1. Birth Rate 2. Death Rate 3. Life Expectancy 4. GNP (7) I would like the countries that are not tied to regional organizations to be labeled "0" : Albania, Bosnia and Herzegovina, Cuba, Eritrea, Georgia, Hong Kong, Israel, North Korea, Kosovo, Moldova, Montenegro and North Macedonia, Serbia, Taiwan, Timor-leste, Turkey. (8) Whereas the countries to be labeled as "1" are attached to a regional network and are: Italy, France, Malaysia , Australia , Russia , Ghana, Bangladesh, Pakistan, United States , Mexico , Switzerland , Algeria , Kuwait , Venezuela , Colombia , South Africa, Haiti, Democratic republic of Congo and Sudan....
40
Views
0
Answers
write a function in R programing with the requirement in the attached file
no specific expectation, as long as you can write the R functions and use conditional loop that meet the requirement in the attached file. I will need it by the end of today....
56
Views
0
Answers
Analysing data obtained from an antimicrobial experiment using RStudio
Background info: A practical was carried out to determine the antimicrobial activity of two mouthwash solutions against e.coli and s.aureus bacteria. The results were obtained by using incubated plates to measure the bacterial zones of inhibition 24hrs after treatment with mouthwash solutions MW1-2019 & MW7-2016. (A positive and negative control were also used - kanamycin and water). What I need: An RStudio project appendix which analyses the data form these results. It must include the script used for the work, any accessory functions, figures and the data itself. The analysis should be structured and the script should be well-commented, well-organised and follow good practice in the use of spacing, indentation, and variable naming. It should include all the code required to reproduce data import and formatting as well as the summary information, analyses, and figures in the report. Either the data should be in ‘tidy’ format, or the script should import untidy data and include the code for reformatting....
76
Views
0
Answers
need a complete RMD file - create markdown and knit to html
Final Project Instructions* Read in the ities.csv and max_temp.csv as dataframe objects df and df_weather_weekly, respectively. (1 point) Display the number of rows and columns in df and df_weather_weekly, respectively, using an appropriate R function. (2 points) Display the structures of the dataframes, df and df_weather_weekly. Below the output, comment on the appropriateness of the datatypes for the columns. (1 point) Display summaries of the columns in the dataframes, df and df_weather_weekly. (3 points) Display the missing values, if any, in df. You can choose to remove or input the missing values and defend that choice in 1-2 sentences for each column with missing values. (6 points) Create a new dataset df_daily by aggregating the dataframe df at the daily level. The dataframe df_daily must have the columns Quantity and TotalDue from df summarized at the daily level. In one to two sentences, defend the choice of the summary measure (sum, mean, or other) used to aggregate the values in each column. (4 points) Convert the dataframe df_weather_weekly from wide to long such that names of the seven columns (Monday:Sunday) are in a new column day and the va...
74
Views
0
Answers
R project using NBA basketball Data
Project that needs to be completed in Stats program R Introduction It’s worth revising your introduction. Think of your project as any piece of writing, the introduction is one of the most important parts, where you get a chance to catch the reader’s attention. Describe your dataset, its size, origin, etc. where does it come from? What aspects do you you consider interesting investigating and why. Start developing a narrative for your data. Note that you don’t necessarily need to write the introduction first, so this is a section that you will want to revisit before turning in your final draft. Briefly describe all the variables that you will use in this project. Mention what kind (numerical or categorical) of variable they are and use appropriate analysis/visualization techniques throughout your project according to this identification. Exploratory Data Analysis Describe any data cleaning/wrangling that you have to to get ready for analysis. Present appropriate visualization techniques and complement with summary statistics for every variable of interest. You must perform univariate analysis on each variable and also bivarate analysis on any pairs of...
66
Views
0
Answers
introductory R studio business assignment
This is a pretty easy introductory r assignment I believe, the main issue is I have little to no experience with R, here is the prompt, attached there is a word document with step by step instructions to- You have been hired by a professional fund manager to prepare a report for a client which incorporates the following two tasks. Task 1: Prepare a MS Word report with RMarkdown analysing the yearly excess returns from Yahoo finance for the components of the FTSE100 for the period 1st January 2000 to 31st December 2020. As part of the analysis, pre-process the data and identify the stocks that satisfy particular criteria (highest excess return, highest volatility, lowest volatility, highest volume, lowest volume). Finally, do an analysis and discuss whether the excess returns differ between (a) high-volatility and low-volatility groups of stocks, and (b) high-liquidity and low-liquidity (volume) groups of stocks. Task 2: Prepare a MS Word report with RMarkdown analysing and discussing the effect of uncertainty on the UK stock market returns and volatility. Please refer to the ‘supplementary information’ for detailed guidance about each task, includin...
70
Views
0
Answers
Use R-Studio to create a code to complete this assignment.
All of the instructions as well as the requirements for this project assignment is addressed in the files I have attached. I expect at least a B+ but of course I would like an A+....
R Programming Homework Help, Online R Programming Assignment Help & Answers .