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Code Book run_analysis.R

For more information about installing and running run_analysis.R, click here.

Human Activity Recognition (HAR) database was built from the recordings of 30 subjects performing Activities of Daily Living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors.

The files described in this code book resulted from manipulations done on top of the UCI HAR dataset by the run_analysis.R script.

For more information about the UCI HAR research, click here.

For more information about the UCI HAR dataset, click here.

File run_analysis_<YYYYMMDD>.txt

Characteristics

  • File Type : text
  • Delimiter : white-space separated
  • Header : yes
  • Quoted Strings : yes
  • Data Style : tidy data, summarized

Dataset

Variable / Column Domain Description
activity string,
factor		 Activity performed by the subject:
- WALKING
- WALKING_UPSTAIRS
- WALKING_DOWNSTAIRS
- SITTING
- STANDING
- LAYING
subject integer,
1:30		 Subject identification
device string,
factor		 Instrument of the device from where the signals were obtained:
- acc (Accelerometer)
- gyr (Gyroscope)
domain string,
factor		 Domain on which signals were obtained:
- time (Time)
- freq (Frequency)
source string,
factor		 Source from where acceleration signal was collected:
- body (Body)
- grav (Gravity)
- jerk (Body Jerk)
axis string,
factor		 From which axis corresponds the signal obtained from the device's instrument:
- x
- y
- z
type string,
factor		 Type of value described in the Signal variable:
- mean (Average)
- std (Standard Deviation)
avg_signal double,
-1:1		 Average of the signals obtained when grouped by each of the variables above

File run_analysis_<YYYYMMDD>_5.csv

Characteristics

  • File Type : text
  • Delimiter : comma separated (.CSV)
  • Header : yes
  • Quoted Strings : yes
  • Data Style : tidy data

Dataset

Variable / Column Domain Description
activity string,
factor		 Activity performed by the subject:
- WALKING
- WALKING_UPSTAIRS
- WALKING_DOWNSTAIRS
- SITTING
- STANDING
- LAYING
subject integer,
1:30		 Subject identification
signal double,
-1:1		 Average or standard deviation signal obtained from device's instrument
device string,
factor		 Instrument of the device from where the signals were obtained:
- acc (Accelerometer)
- gyr (Gyroscope)
domain string,
factor		 Domain on which signals were obtained:
- time (Time)
- freq (Frequency)
source string,
factor		 Source from where acceleration signal was collected:
- body (Body)
- grav (Gravity)
- jerk (Body Jerk)
axis string,
factor		 From which axis corresponds the signal obtained from the device's instrument:
- x
- y
- z
type string,
factor		 Type of value described in the Signal variable:
- mean (Average)
- std (Standard Deviation)

File run_analysis_<YYYYMMDD>_4.csv

Characteristics

  • File Type : text
  • Delimiter : comma separated (.CSV)
  • Header : yes
  • Quoted Strings : yes
  • Data Style : messy data; column headers are values, not variables

Dataset

Variable / Column Domain Description
acc_time_body_x_mean double,
-1:1		 Axis X, raw time-domain body acceleration signal (average), obtained from accelerometer
acc_time_body_y_mean double Same as above but for axis Y
acc_time_body_z_mean double Same as above but for axis Z
acc_time_body_x_std double Same as above but for axis X and signal standard deviation
acc_time_body_y_std double Same as above but for axis Y
acc_time_body_z_std double Same as above but for axis Z
acc_time_grav_x_mean double Axis X, raw time-domain gravity acceleration signal (average), obtained from accelerometer
acc_time_grav_y_mean double Same as above for axis Y
acc_time_grav_z_mean double Same as above for axis Z
acc_time_grav_x_std double Same as above but for axis X and signal standard deviation
acc_time_grav_y_std double Same as above for axis Y
acc_time_grav_z_std double Same as above for axis Z
acc_time_jerk_x_mean double Axis X, raw time-domain body jerk acceleration signal (average), obtained from accelerometer
acc_time_jerk_y_mean double Same as above for axis Y
acc_time_jerk_z_mean double Same as above for axis Z
acc_time_jerk_x_std double Same as above but for axis X and signal standard deviation
acc_time_jerk_y_std double Same as above for axis Y
acc_time_jerk_z_std double Same as above for axis Z
gyr_time_body_x_mean double Axis X, raw time-domain body acceleration signal (average), obtained from gyroscope
gyr_time_body_y_mean double Same as above for axis Y
gyr_time_body_z_mean double Same as above for axis Z
gyr_time_body_x_std double Same as above but for axis X and signal standard deviation
gyr_time_body_y_std double Same as above for axis Y
gyr_time_body_z_std double Same as above for axis Z
gyr_time_jerk_x_mean double Axis X, raw time-domain body jerk acceleration signal (average), obtained from gyroscope
gyr_time_jerk_y_mean double Same as above for axis Y
gyr_time_jerk_z_mean double Same as above for axis Z
gyr_time_jerk_x_std double Same as above but for axis X and signal standard deviation
gyr_time_jerk_y_std double Same as above for axis Y
gyr_time_jerk_z_std double Same as above for axis Z
acc_freq_body_x_mean double Axis X, raw frequency-domain body acceleration signal (average), obtained from accelerometer
acc_freq_body_y_mean double Same as above for axis Y
acc_freq_body_z_mean double Same as above for axis Z
acc_freq_body_x_std double Same as above but for axis X and signal standard deviation
acc_freq_body_y_std double Same as above for axis Y
acc_freq_body_z_std double Same as above for axis Z
acc_freq_jerk_x_mean double Axis X, raw frequency-domain body jerk acceleration signal (average), obtained from accelerometer
acc_freq_jerk_y_mean double Same as above for axis Y
acc_freq_jerk_z_mean double Same as above for axis Z
acc_freq_jerk_x_std double Same as above but for axis X and signal standard deviation
acc_freq_jerk_y_std double Same as above for axis Y
acc_freq_jerk_z_std double Same as above for axis Z
gyr_freq_body_x_mean double Axis X, raw frequency-domain body acceleration signal (average), obtained from gyroscope
gyr_freq_body_y_mean double Same as above for axis Y
gyr_freq_body_z_mean double Same as above for axis Z
gyr_freq_body_x_std double Same as above but for axis X and signal standard deviation
gyr_freq_body_y_std double Same as above for axis Y
gyr_freq_body_z_std double Same as above for axis Z
activity string,
factor		 Activity performed by the subject:
- WALKING
- WALKING_UPSTAIRS
- WALKING_DOWNSTAIRS
- SITTING
- STANDING
- LAYING

By feamcor.