R programming Assignment 3 week 4
Course 2 r programming, assignment 3 (week 4), under data science by johns hopkins university, 1 plot the 30-day mortality rates for heart attack, 3 ranking hospitals by outcome in a state, 4 ranking hospitals in all states.
Week 4 Quiz >> R Programming
1. What is produced at the end of this snippet of R code?
- A vector with the numbers 1, 4, 1, 1, 5
- A vector with the numbers 1, 1, 2, 4, 1
- It is impossible to tell because the result is random
- A vector with the numbers 3.3, 2.5, 0.5, 1.1, 1.7
2. What R function can be used to generate standard Normal random variables?
3. When simulating data, why is using the set.seed() function important? Select all that apply.
- It can be used to specify which random number generating algorithm R should use, ensuring consistency and reproducibility.
- It can be used to generate non-uniform random numbers.
- It ensures that the sequence of random numbers is truly random.
- It ensures that the random numbers generated are within specified boundaries.
4. Which function can be used to evaluate the inverse cumulative distribution function for the Poisson distribution?
5. What does the following code do?
- Generate data from a Normal linear model
- Generate data from a Poisson generalized linear model
- Generate random exponentially distributed data
- Generate uniformly distributed random data
6. What R function can be used to generate Binomial random variables?
7. What aspect of the R runtime does the profiler keep track of when an R expression is evaluated?
- the package search list
- the function call stack
- the working directory
- the global environment
8. Consider the following R code
(Assume that y, x1, and x2 are present in the workspace.) Without running the code, what percentage of the run time is spent in the ‘lm’ function, based on the ‘by.total’ method of normalization shown in ‘summaryRprof()’?
- It is not possible to tell
9. When using ‘system.time()’, what is the user time?
- It is the “wall-clock” time it takes to evaluate an expression
- It is a measure of network latency
- It is the time spent by the CPU waiting for other tasks to finish
- It is the time spent by the CPU evaluating an expression
10. If a computer has more than one available processor and R is able to take advantage of that, then which of the following is true when using ‘system.time()’?
- user time is 0
- elapsed time may be smaller than user time
- user time is always smaller than elapsed time
- elapsed time is 0
Related Questions & Answers:
- Week 1 Quiz >> R Programming Week 1 Quiz >> R Programming 1. R was developed by statisticians working at Microsoft Johns Hopkins University The University ... Read more...
- Week 2 Quiz >> R Programming Week 2 Quiz >> R Programming 1. Suppose I define the following function in R cube <- function(x, n) { ... Read more...
- Week 3 Quiz >> R Programming Week 3 Quiz >> R Programming 1. Take a look at the ‘iris’ dataset that comes with R. The data ... Read more...
- Programming Assignment 1: Quiz >> R Programming Programming Assignment 1: Quiz >> R Programming 1. What value is returned by the following call to pollutantmean()? You should ... Read more...
- Programming Assignment 3: Quiz >> R Programming Programming Assignment 3: Quiz >> R Programming 1. What result is returned by the following code? best("SC", "heart attack") CAROLINAS ... Read more...
- Week 4 Quiz Week 4 Quiz>> Data Visualization Week 4 Quiz TOTAL POINTS 8 1.When creating an overview visualization of a large ... Read more...
Leave a Comment Cancel reply
Save my name, email, and website in this browser for the next time I comment.
Please Enable JavaScript in your Browser to Visit this Site.
Instantly share code, notes, and snippets.
mGalarnyk / assignment1.md
- Star 12 You must be signed in to star a gist
- Fork 25 You must be signed in to fork a gist
- Embed Embed this gist in your website.
- Share Copy sharable link for this gist.
- Clone via HTTPS Clone using the web URL.
- Learn more about clone URLs
R Programming Project 1
github repo for rest of specialization: Data Science Coursera
For this first programming assignment you will write three functions that are meant to interact with dataset that accompanies this assignment. The dataset is contained in a zip file specdata.zip that you can download from the Coursera web site.
Although this is a programming assignment, you will be assessed using a separate quiz.
The zip file containing the data can be downloaded here: specdata.zip [2.4MB] Description: The zip file contains 332 comma-separated-value (CSV) files containing pollution monitoring data.
Part 1 ( pollutantmean.R )
Part 2 ( complete.r ), part 3 ( corr.r ).
SUSANKI commented Jul 30, 2020
Thank u so much, It's a little bit complicated for me @-@
Sorry, something went wrong.
Cyberclip commented Sep 14, 2020
Here it says when I try to do part 1 that there's no package named 'data.table', what should I do?
harshit229 commented Oct 7, 2020
use rstudio
Romeroc3 commented Dec 27, 2020 • edited
Thank you very much for this assignment information. I am currently doing my case study on the refugee situation and I need to study data science to analyze the data. Interestingly, the idea for the research came spontaneously when I read https://samplius.com/free-essay-examples/refugee/ in preparation for lesson. These free essay examples got me interested more in migration and globalization issue. Therefore, I decided to do a little research, but I lack the skills to do a high-quality analysis of big data.
kennethwoanyah commented Feb 3, 2021
@SUSANKI yep, complicated for me too . lol. Works perfectly though.
flaviaouyang commented Feb 18, 2021
you need to install the package. install.packages(data.table)
Bell-016 commented Feb 23, 2021
I am very frustrated with this course. I took it assuming it will explain things from the beggining for a beginner, but the first assignment to me is unreadble, I would never give this answer because I felt I never learn this things you used for your answer.
utamadonny commented Mar 16, 2022
i run the corr.R and it return "Error in eval(bysub, parent.frame(), parent.frame()) : object 'ID' not found"
Rushield commented Apr 9, 2022
Bruh this course is just annoying because it ain't show us how to do those things, even understanding your simplified code in a week 2 is damn hard.
emcdowell28 commented Dec 15, 2022
You and me both. I've been using multiple other online textbooks to try and gain any kind of fundamental understanding of this material. I don't usually struggle with things like this, but nothing makes me feel more unintelligent than being tested over things we haven't even been taught yet.
Help Articles
Programming assignments, learner help center dec 5, 2022 • knowledge, article details.
Programming assignments require you to write and run a computer program to solve a problem.
Some programming assignments count toward your final course grade, while others are just for practice.
Sections of a programming assignment
Programming assignments include both assignment instructions and assignment parts.
Assignment instructions:
- Explain the assignment.
- May include a link to a downloadable starter package that includes starter code, detailed guidelines, and other resources.
Assignment parts:
- Are similar to individual questions within a quiz.
- Are each a single coding task.
- Are each worth a certain number of points toward the overall assignment score.
- Can be completed and submitted all at once, or one at a time.
Programming assignment grades
Programming assignments are graded automatically.
Some are graded using a built-in grading algorithm that compares your program's output to a value specified by your instructor. Others are graded using a custom grading algorithm created by your instructor.
If a programming assignment uses built-in grading:
- Your code will run locally on your computer, and the output will be sent to Coursera's servers.
- Your grade will be based on comparison against numeric or regular expression grading logic.
- You'll get your grade a few seconds after submitting.
If a programming assignment uses custom grading:
- Your code will be run on Coursera's servers.
- Your grade will be based on custom logic provided by your instructor.
- You'll get your grade within an hour of submitting.
- You'll need to refresh the page to see your grade.
Submit a programming assignment
To submit a programming assignment:
- Open the assignment page for the assignment you want to submit.
- Read the assignment instructions and download any starter files.
- Finish the coding tasks in your local coding environment. Check the starter files and instructions when you need to.
- If the assignment uses script submission , submit your assignment by running the submission script in your local coding environment and entering the submission token.
- If the assignment uses web submission , upload your files using the instructions on your screen.
Test a programming assignment
Some programming assignments let you test them before you submit them to get feedback on whether they run. You won't get grades or feedback from the instructor until you submit the assignment.
Edit or resubmit a programming assignment
You can resubmit a programming assignment if you don't pass on the first attempt or want to improve your score. You might have to wait a certain amount of time between attempts.
To resubmit a programming assignment, follow the same steps for submitting one. If your assignment uses script submission, you'll need to select the Generate new token option on the assignment page and use the new submission token.
Related Articles
- Number of Views 46.94K
- Number of Views 66.98K
- Number of Views 78.7K
- Number of Views 33.93K
- Number of Views 40.98K
© 2021 Coursera Inc. All rights reserved.
- Coursera Statistical Inference - Week 4 Assignment Part 1
- by Elizabeth Betts
- Last updated about 5 years ago
- Hide Comments (–) Share Hide Toolbars
Twitter Facebook Google+
IMAGES
VIDEO
COMMENTS
RPubs. by RStudio. Sign inRegister. Coursera R programming week 4 assignment 3. by Haolei Fang. Last updatedabout 8 years ago. HideComments(-)ShareHide Toolbars. ×.
And this course makes me do this for every assignment!!!!! By the way, I have a decent knowledge of programming where I gain from learning Python. I thought this class would be easy for me (after quickly going through the lecture videos), yet from the first assignment I began to scratch my head for an answer.
(Assume that y, x1, and x2 are present in the workspace.) Without running the code, what percentage of the run time is spent in the lm function, based on the by.total method of normalization shown in summaryRprof()?
Entering a number between 1 and 10 will execute the corresponding part of the homework. We will compare the output of your functions to the correct output. For each test passed you receive the specified number of points on the Assignments List web page. Coursera - R Programming - Week 4. Contribute to Fleid/RPro-Week4 development by creating an ...
course link: https://www.coursera.org/learn/r-programming?Friends support me to give you more useful videos.Subscribe me and comment me whatever courses you...
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessar...
R Programming Assignment Week-4 COURSERA Akash Gupta January 12, 2017 ...
Assignment for week 4 programming coursera . Contribute to Phoebelambourne/R-Programming-week-4 development by creating an account on GitHub.
Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week. ... Coursera is one of the best places to go." Chaitanya A.
Week 1 Quiz • 30 minutes. 7 programming assignments • Total 1,260 minutes. swirl Lesson 1: Basic Building Blocks • 180 minutes. swirl Lesson 2: Workspace and Files • 180 minutes. swirl Lesson 3: Sequences of Numbers • 180 minutes. swirl Lesson 4: Vectors • 180 minutes. swirl Lesson 5: Missing Values • 180 minutes.
R programming Assignment 3 week 4 Fan Ouyang 8/21/2017. Course 2 R Programming, Assignment 3 (Week 4), under Data Science by Johns Hopkins University. 1 Plot the 30-day mortality rates for heart attack
Week 4 Quiz >> R Programming 1. What is produced at the end of this snippet of R code? set.seed(1) rpois(5, 2) A vector with the numbers 1, 4, 1, 1, 5A vector with the numbers 1, 1, 2, 4, 1It is impossible to tell because the result is randomA…
Histogram Showing Mortality Rates (Part of Week 4 Assignment) The second course in the data science specialization, "R Programming" is an introductory course teaching users the basics of R. While I did think it went over the basics well, the assignment difficulty was a bit too much for true beginners to R. In result, I decided to post all ...
coursera-programming-assignments. Coursera | R Programming | Week 4 | Programming Assignment 3 | Hospital Quality. Objective 1 : Plot the 30-day mortality rates for heart attack Objective 2 : Finding the best hospital in a state Objective 3 : Ranking hospitals by outcome in a state Objective 4 : Ranking hospitals in all states
There are 4 modules in this course. This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don't know programming • you know programming but aren't familiar with R • you know some R programming but want to learn the tidyverse verbs You ...
For this first programming assignment you will write three functions that are meant to interact with dataset that accompanies this assignment. The dataset is contained in a zip file specdata.zip that you can download from the Coursera web site. Although this is a programming assignment, you will be assessed using a separate quiz.
Coursera - R - Week 4 - Programming Assignment 3. Contribute to JDACN/week4-R development by creating an account on GitHub. Coursera - R - Week 4 - Programming Assignment 3. ... Coursera - R - Week 4 - Programming Assignment 3 Resources. Readme Activity. Stars. 0 stars Watchers. 0 watching Forks. 0 forks Report repository Releases No releases ...
To submit a programming assignment: Open the assignment page for the assignment you want to submit. Read the assignment instructions and download any starter files. Finish the coding tasks in your local coding environment. Check the starter files and instructions when you need to. If the assignment uses script submission, submit your assignment ...
Welcome to Introduction to R Programming for Data Science • 3 minutes • Preview module; Introduction to R Language • 2 minutes; Basic Data Types • 5 minutes; Math, Variables, and Strings • 4 minutes; R Environment • 4 minutes; Introduction to RStudio • 3 minutes; Writing and Running R in Jupyter Notebooks • 4 minutes
by RStudio. Sign inRegister. Coursera Statistical Inference - Week 4 Assignment Part 1. by Elizabeth Betts. Last updatedabout 5 years ago. HideComments(-)ShareHide Toolbars. ×. Post on:
There are 5 modules in this course. This course is the seventh course in the Google Data Analytics Certificate. In this course, you'll learn about the programming language known as R. You'll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R ...
There are 7 modules in this course. This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R ...
Assess LangChain problem-solving strategies for programming challenges, applying critical thinking to choose the most effective solutions. Critique LangChain's evolution in the AI landscape, forecasting impacts and innovations for future application development.