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HAR_tidy.txt
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HAR_tidy.txt
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"subject" "activity" "signal" "measurement"
1 "LAYING" "tBodyAcc.mean().X" 0.22159824394
2 "LAYING" "tBodyAcc.mean().X" 0.281373403958333
3 "LAYING" "tBodyAcc.mean().X" 0.275516852741935
4 "LAYING" "tBodyAcc.mean().X" 0.263559214981481
5 "LAYING" "tBodyAcc.mean().X" 0.278334325576923
6 "LAYING" "tBodyAcc.mean().X" 0.248656520140351
7 "LAYING" "tBodyAcc.mean().X" 0.250176694038462
8 "LAYING" "tBodyAcc.mean().X" 0.261254282907407
9 "LAYING" "tBodyAcc.mean().X" 0.2591955368
10 "LAYING" "tBodyAcc.mean().X" 0.280230574137931
11 "LAYING" "tBodyAcc.mean().X" 0.280592970877193
12 "LAYING" "tBodyAcc.mean().X" 0.260113433
13 "LAYING" "tBodyAcc.mean().X" 0.276716360483871
14 "LAYING" "tBodyAcc.mean().X" 0.233275439803922
15 "LAYING" "tBodyAcc.mean().X" 0.2894756525
16 "LAYING" "tBodyAcc.mean().X" 0.274227162571429
17 "LAYING" "tBodyAcc.mean().X" 0.269780085577465
18 "LAYING" "tBodyAcc.mean().X" 0.274691576923077
19 "LAYING" "tBodyAcc.mean().X" 0.272653733493976
20 "LAYING" "tBodyAcc.mean().X" 0.239507882205882
21 "LAYING" "tBodyAcc.mean().X" 0.271325472455556
22 "LAYING" "tBodyAcc.mean().X" 0.279959721194444
23 "LAYING" "tBodyAcc.mean().X" 0.274038007986111
24 "LAYING" "tBodyAcc.mean().X" 0.272850494930556
25 "LAYING" "tBodyAcc.mean().X" 0.250791828613699
26 "LAYING" "tBodyAcc.mean().X" 0.271645864540789
27 "LAYING" "tBodyAcc.mean().X" 0.274102492432432
28 "LAYING" "tBodyAcc.mean().X" 0.2759134825
29 "LAYING" "tBodyAcc.mean().X" 0.287295196811594
30 "LAYING" "tBodyAcc.mean().X" 0.281033900571429
1 "SITTING" "tBodyAcc.mean().X" 0.261237565425532
2 "SITTING" "tBodyAcc.mean().X" 0.27708735173913
3 "SITTING" "tBodyAcc.mean().X" 0.257197599134615
4 "SITTING" "tBodyAcc.mean().X" 0.27153827992
5 "SITTING" "tBodyAcc.mean().X" 0.273694139545455
6 "SITTING" "tBodyAcc.mean().X" 0.276778487454545
7 "SITTING" "tBodyAcc.mean().X" 0.284674637291667
8 "SITTING" "tBodyAcc.mean().X" 0.267491472934783
9 "SITTING" "tBodyAcc.mean().X" 0.24832674354
10 "SITTING" "tBodyAcc.mean().X" 0.270612056481481
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17 "SITTING" "tBodyAcc.mean().X" 0.2773570196875
18 "SITTING" "tBodyAcc.mean().X" 0.27727001877193
19 "SITTING" "tBodyAcc.mean().X" 0.273830316164384
20 "SITTING" "tBodyAcc.mean().X" 0.278045439090909
21 "SITTING" "tBodyAcc.mean().X" 0.277539616823529
22 "SITTING" "tBodyAcc.mean().X" 0.273583822709677
23 "SITTING" "tBodyAcc.mean().X" 0.273351251617647
24 "SITTING" "tBodyAcc.mean().X" 0.273475690147059
25 "SITTING" "tBodyAcc.mean().X" 0.278541482461538
26 "SITTING" "tBodyAcc.mean().X" 0.258243530166667
27 "SITTING" "tBodyAcc.mean().X" 0.273941302571429
28 "SITTING" "tBodyAcc.mean().X" 0.276977629444444
29 "SITTING" "tBodyAcc.mean().X" 0.2771799775
30 "SITTING" "tBodyAcc.mean().X" 0.268336081379032
1 "STANDING" "tBodyAcc.mean().X" 0.278917629056604
2 "STANDING" "tBodyAcc.mean().X" 0.277911472222222
3 "STANDING" "tBodyAcc.mean().X" 0.280046513278689
4 "STANDING" "tBodyAcc.mean().X" 0.280499745892857
5 "STANDING" "tBodyAcc.mean().X" 0.282544390892857
6 "STANDING" "tBodyAcc.mean().X" 0.280346248596491
7 "STANDING" "tBodyAcc.mean().X" 0.282723539433962
8 "STANDING" "tBodyAcc.mean().X" 0.279620986111111
9 "STANDING" "tBodyAcc.mean().X" 0.282310057333333
10 "STANDING" "tBodyAcc.mean().X" 0.276650300681818
11 "STANDING" "tBodyAcc.mean().X" 0.277715562765957
12 "STANDING" "tBodyAcc.mean().X" 0.277405834918033
13 "STANDING" "tBodyAcc.mean().X" 0.277758431052632
14 "STANDING" "tBodyAcc.mean().X" 0.280545613833333
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16 "STANDING" "tBodyAcc.mean().X" 0.283497402948718
17 "STANDING" "tBodyAcc.mean().X" 0.277942503333333
18 "STANDING" "tBodyAcc.mean().X" 0.278458805890411
19 "STANDING" "tBodyAcc.mean().X" 0.27817226
20 "STANDING" "tBodyAcc.mean().X" 0.278076904657534
21 "STANDING" "tBodyAcc.mean().X" 0.27695224258427
22 "STANDING" "tBodyAcc.mean().X" 0.279053861587302
23 "STANDING" "tBodyAcc.mean().X" 0.277899323235294
24 "STANDING" "tBodyAcc.mean().X" 0.280348883913043
25 "STANDING" "tBodyAcc.mean().X" 0.278013701621622
26 "STANDING" "tBodyAcc.mean().X" 0.281127035405405
27 "STANDING" "tBodyAcc.mean().X" 0.279566921625
28 "STANDING" "tBodyAcc.mean().X" 0.277795069113924
29 "STANDING" "tBodyAcc.mean().X" 0.277965065846154
30 "STANDING" "tBodyAcc.mean().X" 0.277112699152542
1 "WALKING" "tBodyAcc.mean().X" 0.277330758736842
2 "WALKING" "tBodyAcc.mean().X" 0.276426586440678
3 "WALKING" "tBodyAcc.mean().X" 0.275567462068966
4 "WALKING" "tBodyAcc.mean().X" 0.278582015166667
5 "WALKING" "tBodyAcc.mean().X" 0.27784234625
6 "WALKING" "tBodyAcc.mean().X" 0.283658868070175
7 "WALKING" "tBodyAcc.mean().X" 0.275592961754386
8 "WALKING" "tBodyAcc.mean().X" 0.27468631
9 "WALKING" "tBodyAcc.mean().X" 0.278502842115385
10 "WALKING" "tBodyAcc.mean().X" 0.278574076603774
11 "WALKING" "tBodyAcc.mean().X" 0.271821892881356
12 "WALKING" "tBodyAcc.mean().X" 0.2771286656
13 "WALKING" "tBodyAcc.mean().X" 0.275883130350877
14 "WALKING" "tBodyAcc.mean().X" 0.271959598644068
15 "WALKING" "tBodyAcc.mean().X" 0.273899207962963
16 "WALKING" "tBodyAcc.mean().X" 0.276023564509804
17 "WALKING" "tBodyAcc.mean().X" 0.272341855245902
18 "WALKING" "tBodyAcc.mean().X" 0.273887758571429
19 "WALKING" "tBodyAcc.mean().X" 0.273931172307692
20 "WALKING" "tBodyAcc.mean().X" 0.272589336470588
21 "WALKING" "tBodyAcc.mean().X" 0.279183526730769
22 "WALKING" "tBodyAcc.mean().X" 0.27886459
23 "WALKING" "tBodyAcc.mean().X" 0.273211884237288
24 "WALKING" "tBodyAcc.mean().X" 0.276980816034483
25 "WALKING" "tBodyAcc.mean().X" 0.278992759054054
26 "WALKING" "tBodyAcc.mean().X" 0.279264443728814
27 "WALKING" "tBodyAcc.mean().X" 0.276849485438596
28 "WALKING" "tBodyAcc.mean().X" 0.281228223888889
29 "WALKING" "tBodyAcc.mean().X" 0.271999916792453
30 "WALKING" "tBodyAcc.mean().X" 0.276406758
1 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.289188320408163
2 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.27761534806383
3 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.292423484693878
4 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.279965329555556
5 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.29354392712766
6 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.277045258145833
7 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.28030708
8 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.283484089210526
9 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.295923445
10 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.290401594315789
11 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.291605631956522
12 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.281521097391304
13 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.294907553404255
14 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.293422115555556
15 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.280198851190476
16 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.295586802191489
17 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.29391828326087
18 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.288439468909091
19 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.262688053871795
20 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.296144421355556
21 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.3014610196
22 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.284458963861111
23 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.289897411148148
24 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.288631208909091
25 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.291329666206897
26 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.2792845828
27 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.2975441875
28 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.293642076521739
29 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.293140441083333
30 "WALKING DOWNSTAIRS" "tBodyAcc.mean().X" 0.283190646967742
1 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.255461689622641
2 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.247164790395833
3 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.260819873067797
4 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.270876696730769
5 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.268459469914894
6 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.268229355098039
7 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.248706923078431
8 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.258880152048781
9 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.262436475714286
10 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.267121853404255
11 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.263775859277778
12 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.272970338653846
13 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.258203939581818
14 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.26242106612963
15 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.270187595833333
16 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.255986102627451
17 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.252604768583333
18 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.265401201896552
19 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.242118808925
20 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.252098317156863
21 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.265194544680851
22 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.248391534566667
23 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.249995171031373
24 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.269881106779661
25 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.277995411384615
26 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.272691394545455
27 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.265770253921569
28 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.262005841764706
29 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.265423066877551
30 "WALKING UPSTAIRS" "tBodyAcc.mean().X" 0.271415642261538
1 "LAYING" "tBodyAcc.mean().Y" -0.0405139534294
2 "LAYING" "tBodyAcc.mean().Y" -0.0181587397583333
3 "LAYING" "tBodyAcc.mean().Y" -0.0189556785048387
4 "LAYING" "tBodyAcc.mean().Y" -0.0150031841055556
5 "LAYING" "tBodyAcc.mean().Y" -0.0183042123269231
6 "LAYING" "tBodyAcc.mean().Y" -0.0102529170561404
7 "LAYING" "tBodyAcc.mean().Y" -0.0204411516884615
8 "LAYING" "tBodyAcc.mean().Y" -0.0212281733881481
9 "LAYING" "tBodyAcc.mean().Y" -0.020526821662
10 "LAYING" "tBodyAcc.mean().Y" -0.024294484137931
11 "LAYING" "tBodyAcc.mean().Y" -0.0176598052315789
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