The codebook for the summarised data set is in the CodeBook.md file.
The R script that processes the data is in the run_analysis.R file.
The main function of the script is run_analysis(), and can be used as illustrated below:
source("run_analysis.R")
summarised_data_tbl <- run_analysis()
The processing stages in the run_analysis.R script are as follows:
- Define variables for data locations
- Download and unpack source data
- Process the test data set to create a data frame of the mean and std deviation variables by activity and subject
- Process the training data set to create a data frame of the mean and std deviation variables by activity and subject
- Merge, group and summarise the merged data set
- Write the summarised data set to a file called "summarised_data_tbl.txt" with row.name=FALSE
This project uses a data set with these license requirements:
Use of this dataset in publications must be acknowledged by referencing the following publication [1]
[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.
Jorge L. Reyes-Ortiz, Alessandro Ghio, Luca Oneto, Davide Anguita. November 2012.