Manually set your working directory (from toolbar – Session), DO NOT hardcode the file
Only use the following code to read data from your local drive
data_independent <- [login to view URL](file = 'data - for student - independent [login to view URL]')
data_dependent <- [login to view URL](file = 'data - for student - dependent [login to view URL]')
y <- data_dependent$AmountWines
Enter your name, such as:
Assign “new_data”, lower-case, to represent all independent variables you decided to use
Assign “model”, to represent your model’s name
Assign “preds”, lower-case, to represent your y-predictions based on the results of your
model. If your data has 1500 rows, then you should see 1500 rows of predictions.
write below code after calculating your predictions
rmse<- sqrt(mean((y - preds)^2))
Combine, “first_name”, “last_name”, and “rmse” as one single csv output file, name the csv
file as: finaloutput
At the end of your scripts, write the following code (this is for TA, when testing your code,
don’t run those lines.)
Hi, How are you? I am very interested in your project. I am an expert in math, physics. I have +5 experiences in matlab, python, R Programming. I read your description for project carefully. I’ve worked on several sim Daha Fazla
Bu iş için 10 freelancer ortalamada $157 teklif veriyor
Hello, I am Professional Statistician and R expert. I can help with this task with a quick turn-around. Looking to hearing from you. Kind regards.
Hello, I would like to handle this task. I have a degree in applied statistics and have an excellent command of R programming. Look forward to hearing from you.