This repository is for the Assignment in the Getting and Cleaning Data Course
Directories and files included in this repository
README.md : Details on each file and directory in this repository
VariableMeans.txt : Tidy data set with the average of each variable for each activity and each subject
This is obtained by running the following code on the output of run_analysis(),
write.table(Name of the R object used to store output of the above mentioned function, "VariableMeans.txt", row.names = FALSE)
And can be retrieved into R by using the following code,
VariableMeans <- read.table("VariableMeans.txt", header = TRUE)
CodeBook.md : Code Book describing the process of cleaning the raw data based on the specifications and provides description of variables in the tidy data set - VariableMeans.txt
run_analysis.R : Rscript which defines a function run_analysis(), which downloads the required raw data, loads in the required packages and performs the cleaning of the raw data and returns the tidy data set which should be stored in an R object. The transformation steps and their descriptions are included in the CodeBook.md file above.
This R script was written in
"R version 4.3.0 (2023-04-21 ucrt)"
[1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012
This dataset is distributed AS-IS and no responsibility implied or explicit can be addressed to the authors or their institutions for its use or misuse. Any commercial use is prohibited.