Category: R</strong
-
Topic: Analyzing and Visualizing Data Question: Review the attached file. Suzie
Topic: Analyzing and Visualizing Data Question: Review the attached file. Suzie has an issue. She can either move to NY or FL and needs to review some data that her agent gave her. The agent reviewed house prices and crime ratings for houses that Suzie would be interested in based on her selection criteria. She…
-
requirement and data: https://www.dropbox.com/scl/fi/scbap7jvls2cay2vppkcs/ARE10
requirement and data: https://www.dropbox.com/scl/fi/scbap7jvls2cay2vppkcs/ARE106_HW1_F2024.zip?rlkey=um5t20bt4kfj0jm9ui4txfqja&st=c1tbj908&dl=0
-
requirement and data: https://www.dropbox.com/scl/fi/scbap7jvls2cay2vppkcs/ARE10
requirement and data: https://www.dropbox.com/scl/fi/scbap7jvls2cay2vppkcs/ARE106_HW1_F2024.zip?rlkey=um5t20bt4kfj0jm9ui4txfqja&st=c1tbj908&dl=0
-
1. Suppose there is a population of 1000 people and 500 of them have already ado
1. Suppose there is a population of 1000 people and 500 of them have already adopted a new behavior. In the next time period, how many will begin the behavior if there is a constant hazard of .5? What about if the hazard is .5 * current adoption base? Show your work. 2. Draw a…
-
Instructions Provide the code that parallelizes the following: library(M
Instructions Provide the code that parallelizes the following: library(MKinfer) # Load package used for permutation t-test # Create a function for running the simulation: simulate_type_I
-
Hi! I’d like you to develop a functional data analysis (FDA) project choosing am
Hi! I’d like you to develop a functional data analysis (FDA) project choosing among the datasets from the fda.usc package. Your project should address specific research questions that you will formulate. The analysis should include: Smoothing functional data Data registration (both landmark and continuous) Functional PCA Functional ANOVA Depth measures Please ensure that your code…
-
Part 1 Data: airfare.csv (download from Module 4 on Brightspace) Every quarter,
Part 1 Data: airfare.csv (download from Module 4 on Brightspace) Every quarter, the Bureau of Transportation Statistics (BTS) takes a survey to track domestic airfares. This time series shows average airfares calculated from BTS (inflation adjusted to 2018 dollars) for U.S. domestic flights from 2004 to 2018. Background: For this part of the assignment, you…
-
Part 1 Data: airfare.csv (download from Module 4 on Brightspace) Every quarter,
Part 1 Data: airfare.csv (download from Module 4 on Brightspace) Every quarter, the Bureau of Transportation Statistics (BTS) takes a survey to track domestic airfares. This time series shows average airfares calculated from BTS (inflation adjusted to 2018 dollars) for U.S. domestic flights from 2004 to 2018. Background: For this part of the assignment, you…