Transform Data Assignment

Part 1: Transformations Use the consumer patient survey dataset for this assignment. Transform Data Assignment Name the dataset Survey. To view the consumer patient survey dataset, Go to the Books and Resources for this Week module and click on the U.S. Department of Health & Human Services link. Change the class of the “HCAHPS Answer Percent” variable to a number using the command survey$HCAHPS Answer Percent<-as.numeric(survey$HCAHPS Answer Percent). Transform Data Assignment Apply three transformations to the data. (Hint: use summary and hist or boxplot commands, then the transformation of the variable; consider skew and kurtosis). Visually and numerically determine the shape of all of the distributions for this variable. Part 2: Missing Data Create a subset of data from Rhode Island (RI) using the subset command sub<-subset(survey,State==”RI”). Transform Data Assignment Determine the number of NA values in this subset for the HCAHPS Answer Percent variable. Replace NA with 0 using the which(is.NA() <- 0 command. Transform Data Assignment Replace NA with the mean use <- mean(,na.rm = TRUE). Visually and numerically determine the shape of all of the distributions for this variable. Then address the following in a research paper with an introduction, method, and results section: Identify the dataset and variables and provide context to the research used to collect the data (in an introduction section). Identify the analysis performed, pros and cons of calculation, and why they are used (in a method section). Describe and interpret results (in a results section). Include references. Include all R code as an appendix. Length: 5-7 pages References: Include a minimum of 2 scholarly resources Database file located at : https://healthdata.gov/dataset/patient-survey-hcahps-hospital

Transform Data Assignment Determine the number of NA values in this subset for the HCAHPS Answer Percent variable. Replace NA with 0 using the which(is.NA() <- 0 command. Transform Data Assignment Replace NA with the mean use <- mean(,na.rm = TRUE). Visually and numerically determine the shape of all of the distributions for this variable. Then address the following in a research paper with an introduction, method, and results section: Identify the dataset and variables and provide context to the research used to collect the data (in an introduction section). Identify the analysis performed, pros and cons of calculation, and why they are used (in a method section). Describe and interpret results (in a results section). Include references. Include all R code as an appendix. Length: 5-7 pages References: Include a minimum of 2 scholarly resources Database file located at : https://healthdata.gov/dataset/patient-survey-hcahps-hospital