| title | author | date | output |
|---|---|---|---|
Readme |
Agata |
2022-11-24 |
html_document |
This is the R script used for creating the tidy dataset from several data files from the Human Activity Recognition Using Smartphones Dataset. The data was collected from the accelerometers from the Samsung Galaxy S smartphone.
This analysis is based on data generated by 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
Test (x_test.txt) and train (x_train.txt) measurement data were merged together with the labels of the variables (test/y_test.txt and y_train.txt), performed activities (activity_labels.txt), and subjects (test/subject_test.txt and subject_train.txt). From the merged dataset (whole_dataset) only the variables with the mean and standard deviation were extracted. The resulting tidy dataset (dataset_select)was exported to the dataset_select.txt file.
Additional dataset (dataset_summary) was created by calculating average values of each variable for each activity and each subject.
The variables are described in the Codebook file.