Category: R

R comes with a set of pseuodo-random number generators that allow you to simulat

R comes with a set of pseuodo-random number generators that allow you to simulate from well-known probability distributions like the Normal, Poisson, and binomial. Explain the differences by among following functions by defining what they do mathematically and then by using an example:
rnorm
dnorm
pnorm
rpois
Simulate 100 standard Normal random numbers and then show them in the histogram:
Normal random numbers with mean 0 and standard deviation 1.
Normal random numbers with mean 20 and standard deviation 2
Create and then explain the output of the following:
Draw randomly 10 numbers from a uniform distribution of numbers from 100 to 10,000.
Do a random permutation from a sample of numbers from 1 to 200 that are uniformly distributed.
Create a sample w/replacement for numbers from 10 to 100 that are uniformly distributed.

Learning Objectives:
Produce maps in a variety of styles and using a variety of

Learning Objectives:
Produce maps in a variety of styles and using a variety of mapping technologies
Make a cohesive argument through the production of a series of maps on a topic
Description:The major assignment in this course is to create an atlas. Your atlas should make a cohesive and coherent argument about some health-related topic/issue of your choice (broadly defined). Atlases should include a 2-3 page introduction and at least 5 individual maps, each accompanied by a one paragraph caption contextualizing the map. You are required to use at least two different mediums or technologies in creating your maps (ie. you cannot create all of your maps using QGIS; you cannot hand draw all of your maps).
Directions:Choose a topic for your atlas. Topics must be related to health, though for the purposes of this class, health is very broadly defined so if you aren’t sure if a topic is health related, come talk to me about it. Considering that the atlas should make an argument, consider the argument you want to make with your topic or the question that you want your atlas to shed light on.
Create your maps. Remember that when put together, the maps should make some sort of coherent statement. It is up to you how broad or narrow that statement is which will help determine the types of maps you make. Your maps can be of all the same phenomenon at different scales or in different places; your maps can be of all different things (so long as you can link them together in the introduction). As the mapmaker and atlas designer, you have tremendous creative freedom to construct your argument however you like. You are welcome to come to office hours to get feedback on an outline of your atlas. Similarly, you will have a chance to submit individual maps for peer review twice during the quarter. I encourage you to submit maps in different styles for each review and to apply the feedback you get to the other maps you make. You are also always welcome to bring maps to office hours for direct feedback from me.
Write an introduction to your atlas. The introduction is your chance to lay out the argument you are making. The introduction should be 2-3 pages double spaced (or 1-2 pages single spaced), so you will have to be concise. This is your chance to make clear how the maps fit together and what ties your atlas together as a cohesive document. I encourage everyone to take a draft of their introduction to one of the writing centers on campus to help you make a strong, concise argument.
Write captions for each map. Each caption should be a paragraph (3-6 sentences). This is your chance to explain your thinking in each particular map and to articulate how the map fits into the broader argument.
Put the atlas together into a single document. Atlases should be submitted as a single PDF document (unless you have some reason as the atlas designer/mapmaker for why that is not its ideal presentation) on Canvas. Please take the time to make your atlases look professional. Ensure that your maps have scaled well and are readable in the PDF. The easiest way to do this is to import your maps (saved as JPEGs) into the written (Microsoft Word or other text editor) document, position them in order with their captions and then export the final document as a PDF. Because it is worth so much of your grade and aesthetic composition matters, make sure to open that PDF and double check that it looks the way you intend before submitting it.
Above is the assignment requirement and my topic of choice is: substance and abuse addiction by county

There is [Quantitative Training data] and Test data using Random Forest and the

There is [Quantitative Training data] and Test data using Random Forest and the GAM model to predict the missing Y. I have completed the process for the prediction and export as [Test_randomForest.xlsx] and [Test_GAM.xlsx].
Please evaluate the two test data by plotting the ROC curves and calculating the accuracy, and also can use cross-validation.
Define which model has a better prediction with a higher accuracy rate.
Please transfer the R file to Docs when you are finished.

Hello there,
I’m having as assignment in R, it shouldn’t be hard, and here is th

Hello there,
I’m having as assignment in R, it shouldn’t be hard, and here is the instructions:
Modifying
the code snippet (or writing original code), produce at least one
figure which shows trends in age distributions for the same country
across at least two time periods. You cannot use the US case as this is
the one I used in our example. You can make multiple figures, each for
one country, if you would like. Pay specific attention to the labels you
give your figures (axis labels, legend labels). Excellent ideas from
your colleagues in lecture included studying trends in neighboring
countries, evaluating demographic shocks (displacement, baby booms,
etc.).
Here is the example from today in the attachment
After
compiling your figure, write a one paragraph interpreting the trends
you observe. Do you find evidence of data inaccuracy? Do you find
evidence of a major demographic shift in the population? Are there
chunks of the data that appear missing? Were there any errors in the
data?
Upload your files (code+figure+writing) or compile them together using a knit (preferred).
the work should be submitted by 11:30Pm New York time, it is 2 Pm afternoon now
thank you

Hi there,
i have an assignment regarding to Digit heaping, Please Only research

Hi there,
i have an assignment regarding to Digit heaping, Please Only researchers who holds Master’s Degree bids
PLEASE DON’T BID IF YOU ARE NOT FAMILIAR WITH THE COURSE
NO CHATGPT OR ANY AI, MUST BE 100% ORIGINAL
No need for external resources or references.
Write one paragraph which contains at least two ideas (methods or approaches)
on how to improve data collection for early childhood height and weight
data. Remember that there may be a variety of reasons why measurement
is imprecise (rounding). Your suggestions can address any of these
reasons: difficulty measuring small humans, manual input of data,
incentives to rush or manipulate data, carelessness, data fabrication,
etc.

Hi there,
i have a short assignment regarding to Digit heaping, Does not need e

Hi there,
i have a short assignment regarding to Digit heaping, Does not need external resources or any coding
just write one paragraph which contains at least two ideas (methods or approaches) on how to improve data collection for early childhood height and weight data. Remember that there may be a variety of reasons why measurement is imprecise (rounding). Your suggestions can address any of these reasons: difficulty measuring small humans, manual input of data, incentives to rush or manipulate data, carelessness, data fabrication, etc.
please don’t bid unless you are familiar with the subject
No chatgpt or any AI, Must be 100% original
No need for external resources or references.
Thank you