knitr::opts_chunk$set(echo = TRUE)The purpose of this project is to demonstrate how to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. We aim at performing the following task: 1) Prepare a tidy data set. 2) Link to a Github repository with our script for performing the analysis. 3) Prepare code book that describes the variables, the data, and any transformations or work that was performed to clean up the data. A README.md will be in the repo with our scripts. This repo explains how all of the scripts work and how they are connected.
#DATASET
One of the most exciting areas in all of data science right now is wearable computing - see for example (this article)[http://www.insideactivitytracking.com/data-science-activity-tracking-and-the-battle-for-the-worlds-top-sports-brand/] . Companies like Fitbit, Nike, and Jawbone Up are racing to develop the most advanced algorithms to attract new users. The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
Here are the data for the project:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
#TASK
We will create one R script called run_analysis.R that performs the following:
setwd("C:/Users/HP/OneDrive/Documents/R/coursera/getting and cleaning data/GETTING-AND-CLEANING-DATA-/")
require(dplyr)## Loading required package: dplyr##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionrequire(plyr)## Loading required package: plyr## ------------------------------------------------------------------------------## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)## ------------------------------------------------------------------------------##
## Attaching package: 'plyr'## The following objects are masked from 'package:dplyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarizeThe dataset was downloaded hence we access the data set using the following codes
# Directories and files
ucidir <- "UCI\ HAR\ Dataset"
featurefile <- paste(ucidir, "/features.txt", sep = "")
activitylabelsfile <- paste(ucidir, "/activity_labels.txt", sep = "")
xtrainfile <- paste(ucidir, "/train/X_train.txt", sep = "")
ytrainfile <- paste(ucidir, "/train/y_train.txt", sep = "")
subject_trainfile <- paste(ucidir, "/train/subject_train.txt", sep = "")
xtestfile <- paste(ucidir, "/test/X_test.txt", sep = "")
ytestfile <- paste(ucidir, "/test/y_test.txt", sep = "")
subjecttestfile <- paste(ucidir, "/test/subject_test.txt", sep = "")
Assigning all data frames heading while loading the raw data set
features <- read.table("features.txt", colClasses = c("character"), col.names = c("n","functions") )
activity_labels <- read.table("activity_labels.txt", col.names = c("ID", "activity"))
x_train <- read.table("X_train.txt", col.names = features$functions)
y_train <- read.table("y_train.txt", col.names = "ID")
subject_train <- read.table("subject_train.txt", col.names = "subject")
x_test <- read.table("X_test.txt", col.names = features$functions)
y_test <- read.table("y_test.txt", col.names = "ID")
subject_test <- read.table("subject_test.txt", col.names = "subject")Now all set and done we will execute the above stated task one step at a time.
##1. MERGING TRAINING AND TEST DATA SET TO CREATE ONE DATASET
Step 1: Merging the training and the test sets to create one data set. ################################################################## ##################################################################
train <- cbind(subject_train, y_train, x_train)
test <- cbind(subject_test, y_test, x_test)
alldata <- rbind(train, test)
str(alldata)## 'data.frame': 10299 obs. of 563 variables:
## $ subject : int 1 1 1 1 1 1 1 1 1 1 ...
## $ ID : int 5 5 5 5 5 5 5 5 5 5 ...
## $ tBodyAcc.mean...X : num 0.289 0.278 0.28 0.279 0.277 ...
## $ tBodyAcc.mean...Y : num -0.0203 -0.0164 -0.0195 -0.0262 -0.0166 ...
## $ tBodyAcc.mean...Z : num -0.133 -0.124 -0.113 -0.123 -0.115 ...
## $ tBodyAcc.std...X : num -0.995 -0.998 -0.995 -0.996 -0.998 ...
## $ tBodyAcc.std...Y : num -0.983 -0.975 -0.967 -0.983 -0.981 ...
## $ tBodyAcc.std...Z : num -0.914 -0.96 -0.979 -0.991 -0.99 ...
## $ tBodyAcc.mad...X : num -0.995 -0.999 -0.997 -0.997 -0.998 ...
## $ tBodyAcc.mad...Y : num -0.983 -0.975 -0.964 -0.983 -0.98 ...
## $ tBodyAcc.mad...Z : num -0.924 -0.958 -0.977 -0.989 -0.99 ...
## $ tBodyAcc.max...X : num -0.935 -0.943 -0.939 -0.939 -0.942 ...
## $ tBodyAcc.max...Y : num -0.567 -0.558 -0.558 -0.576 -0.569 ...
## $ tBodyAcc.max...Z : num -0.744 -0.818 -0.818 -0.83 -0.825 ...
## $ tBodyAcc.min...X : num 0.853 0.849 0.844 0.844 0.849 ...
## $ tBodyAcc.min...Y : num 0.686 0.686 0.682 0.682 0.683 ...
## $ tBodyAcc.min...Z : num 0.814 0.823 0.839 0.838 0.838 ...
## $ tBodyAcc.sma.. : num -0.966 -0.982 -0.983 -0.986 -0.993 ...
## $ tBodyAcc.energy...X : num -1 -1 -1 -1 -1 ...
## $ tBodyAcc.energy...Y : num -1 -1 -1 -1 -1 ...
## $ tBodyAcc.energy...Z : num -0.995 -0.998 -0.999 -1 -1 ...
## $ tBodyAcc.iqr...X : num -0.994 -0.999 -0.997 -0.997 -0.998 ...
## $ tBodyAcc.iqr...Y : num -0.988 -0.978 -0.965 -0.984 -0.981 ...
## $ tBodyAcc.iqr...Z : num -0.943 -0.948 -0.975 -0.986 -0.991 ...
## $ tBodyAcc.entropy...X : num -0.408 -0.715 -0.592 -0.627 -0.787 ...
## $ tBodyAcc.entropy...Y : num -0.679 -0.501 -0.486 -0.851 -0.559 ...
## $ tBodyAcc.entropy...Z : num -0.602 -0.571 -0.571 -0.912 -0.761 ...
## $ tBodyAcc.arCoeff...X.1 : num 0.9293 0.6116 0.273 0.0614 0.3133 ...
## $ tBodyAcc.arCoeff...X.2 : num -0.853 -0.3295 -0.0863 0.0748 -0.1312 ...
## $ tBodyAcc.arCoeff...X.3 : num 0.36 0.284 0.337 0.198 0.191 ...
## $ tBodyAcc.arCoeff...X.4 : num -0.0585 0.2846 -0.1647 -0.2643 0.0869 ...
## $ tBodyAcc.arCoeff...Y.1 : num 0.2569 0.1157 0.0172 0.0725 0.2576 ...
## $ tBodyAcc.arCoeff...Y.2 : num -0.2248 -0.091 -0.0745 -0.1553 -0.2725 ...
## $ tBodyAcc.arCoeff...Y.3 : num 0.264 0.294 0.342 0.323 0.435 ...
## $ tBodyAcc.arCoeff...Y.4 : num -0.0952 -0.2812 -0.3326 -0.1708 -0.3154 ...
## $ tBodyAcc.arCoeff...Z.1 : num 0.279 0.086 0.239 0.295 0.44 ...
## $ tBodyAcc.arCoeff...Z.2 : num -0.4651 -0.0222 -0.1362 -0.3061 -0.2691 ...
## $ tBodyAcc.arCoeff...Z.3 : num 0.4919 -0.0167 0.1739 0.4821 0.1794 ...
## $ tBodyAcc.arCoeff...Z.4 : num -0.191 -0.221 -0.299 -0.47 -0.089 ...
## $ tBodyAcc.correlation...X.Y : num 0.3763 -0.0134 -0.1247 -0.3057 -0.1558 ...
## $ tBodyAcc.correlation...X.Z : num 0.4351 -0.0727 -0.1811 -0.3627 -0.1898 ...
## $ tBodyAcc.correlation...Y.Z : num 0.661 0.579 0.609 0.507 0.599 ...
## $ tGravityAcc.mean...X : num 0.963 0.967 0.967 0.968 0.968 ...
## $ tGravityAcc.mean...Y : num -0.141 -0.142 -0.142 -0.144 -0.149 ...
## $ tGravityAcc.mean...Z : num 0.1154 0.1094 0.1019 0.0999 0.0945 ...
## $ tGravityAcc.std...X : num -0.985 -0.997 -1 -0.997 -0.998 ...
## $ tGravityAcc.std...Y : num -0.982 -0.989 -0.993 -0.981 -0.988 ...
## $ tGravityAcc.std...Z : num -0.878 -0.932 -0.993 -0.978 -0.979 ...
## $ tGravityAcc.mad...X : num -0.985 -0.998 -1 -0.996 -0.998 ...
## $ tGravityAcc.mad...Y : num -0.984 -0.99 -0.993 -0.981 -0.989 ...
## $ tGravityAcc.mad...Z : num -0.895 -0.933 -0.993 -0.978 -0.979 ...
## $ tGravityAcc.max...X : num 0.892 0.892 0.892 0.894 0.894 ...
## $ tGravityAcc.max...Y : num -0.161 -0.161 -0.164 -0.164 -0.167 ...
## $ tGravityAcc.max...Z : num 0.1247 0.1226 0.0946 0.0934 0.0917 ...
## $ tGravityAcc.min...X : num 0.977 0.985 0.987 0.987 0.987 ...
## $ tGravityAcc.min...Y : num -0.123 -0.115 -0.115 -0.121 -0.122 ...
## $ tGravityAcc.min...Z : num 0.0565 0.1028 0.1028 0.0958 0.0941 ...
## $ tGravityAcc.sma.. : num -0.375 -0.383 -0.402 -0.4 -0.4 ...
## $ tGravityAcc.energy...X : num 0.899 0.908 0.909 0.911 0.912 ...
## $ tGravityAcc.energy...Y : num -0.971 -0.971 -0.97 -0.969 -0.967 ...
## $ tGravityAcc.energy...Z : num -0.976 -0.979 -0.982 -0.982 -0.984 ...
## $ tGravityAcc.iqr...X : num -0.984 -0.999 -1 -0.996 -0.998 ...
## $ tGravityAcc.iqr...Y : num -0.989 -0.99 -0.992 -0.981 -0.991 ...
## $ tGravityAcc.iqr...Z : num -0.918 -0.942 -0.993 -0.98 -0.98 ...
## $ tGravityAcc.entropy...X : num -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
## $ tGravityAcc.entropy...Y : num -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
## $ tGravityAcc.entropy...Z : num 0.114 -0.21 -0.927 -0.596 -0.617 ...
## $ tGravityAcc.arCoeff...X.1 : num -0.59042 -0.41006 0.00223 -0.06493 -0.25727 ...
## $ tGravityAcc.arCoeff...X.2 : num 0.5911 0.4139 0.0275 0.0754 0.2689 ...
## $ tGravityAcc.arCoeff...X.3 : num -0.5918 -0.4176 -0.0567 -0.0858 -0.2807 ...
## $ tGravityAcc.arCoeff...X.4 : num 0.5925 0.4213 0.0855 0.0962 0.2926 ...
## $ tGravityAcc.arCoeff...Y.1 : num -0.745 -0.196 -0.329 -0.295 -0.167 ...
## $ tGravityAcc.arCoeff...Y.2 : num 0.7209 0.1253 0.2705 0.2283 0.0899 ...
## $ tGravityAcc.arCoeff...Y.3 : num -0.7124 -0.1056 -0.2545 -0.2063 -0.0663 ...
## $ tGravityAcc.arCoeff...Y.4 : num 0.7113 0.1091 0.2576 0.2048 0.0671 ...
## $ tGravityAcc.arCoeff...Z.1 : num -0.995 -0.834 -0.705 -0.385 -0.237 ...
## $ tGravityAcc.arCoeff...Z.2 : num 0.996 0.834 0.714 0.386 0.239 ...
## $ tGravityAcc.arCoeff...Z.3 : num -0.996 -0.834 -0.723 -0.387 -0.241 ...
## $ tGravityAcc.arCoeff...Z.4 : num 0.992 0.83 0.729 0.385 0.241 ...
## $ tGravityAcc.correlation...X.Y : num 0.57 -0.831 -0.181 -0.991 -0.408 ...
## $ tGravityAcc.correlation...X.Z : num 0.439 -0.866 0.338 -0.969 -0.185 ...
## $ tGravityAcc.correlation...Y.Z : num 0.987 0.974 0.643 0.984 0.965 ...
## $ tBodyAccJerk.mean...X : num 0.078 0.074 0.0736 0.0773 0.0734 ...
## $ tBodyAccJerk.mean...Y : num 0.005 0.00577 0.0031 0.02006 0.01912 ...
## $ tBodyAccJerk.mean...Z : num -0.06783 0.02938 -0.00905 -0.00986 0.01678 ...
## $ tBodyAccJerk.std...X : num -0.994 -0.996 -0.991 -0.993 -0.996 ...
## $ tBodyAccJerk.std...Y : num -0.988 -0.981 -0.981 -0.988 -0.988 ...
## $ tBodyAccJerk.std...Z : num -0.994 -0.992 -0.99 -0.993 -0.992 ...
## $ tBodyAccJerk.mad...X : num -0.994 -0.996 -0.991 -0.994 -0.997 ...
## $ tBodyAccJerk.mad...Y : num -0.986 -0.979 -0.979 -0.986 -0.987 ...
## $ tBodyAccJerk.mad...Z : num -0.993 -0.991 -0.987 -0.991 -0.991 ...
## $ tBodyAccJerk.max...X : num -0.985 -0.995 -0.987 -0.987 -0.997 ...
## $ tBodyAccJerk.max...Y : num -0.992 -0.979 -0.979 -0.992 -0.992 ...
## $ tBodyAccJerk.max...Z : num -0.993 -0.992 -0.992 -0.99 -0.99 ...
## $ tBodyAccJerk.min...X : num 0.99 0.993 0.988 0.988 0.994 ...
## $ tBodyAccJerk.min...Y : num 0.992 0.992 0.992 0.993 0.993 ...
## $ tBodyAccJerk.min...Z : num 0.991 0.989 0.989 0.993 0.986 ...
## $ tBodyAccJerk.sma.. : num -0.994 -0.991 -0.988 -0.993 -0.994 ...
## $ tBodyAccJerk.energy...X : num -1 -1 -1 -1 -1 ...
## [list output truncated]##2. EXTRACT THE MEAN AND STANDARD DEVIATION FOR EACH FEATURE
Step 2: Extracts only the measurements on the mean and standard deviation for each measurement. ############################################################################### ###############################################################################
alldatacln <- alldata %>% select(subject, ID, contains("mean"), contains("std"))
str(alldatacln)## 'data.frame': 10299 obs. of 88 variables:
## $ subject : int 1 1 1 1 1 1 1 1 1 1 ...
## $ ID : int 5 5 5 5 5 5 5 5 5 5 ...
## $ tBodyAcc.mean...X : num 0.289 0.278 0.28 0.279 0.277 ...
## $ tBodyAcc.mean...Y : num -0.0203 -0.0164 -0.0195 -0.0262 -0.0166 ...
## $ tBodyAcc.mean...Z : num -0.133 -0.124 -0.113 -0.123 -0.115 ...
## $ tGravityAcc.mean...X : num 0.963 0.967 0.967 0.968 0.968 ...
## $ tGravityAcc.mean...Y : num -0.141 -0.142 -0.142 -0.144 -0.149 ...
## $ tGravityAcc.mean...Z : num 0.1154 0.1094 0.1019 0.0999 0.0945 ...
## $ tBodyAccJerk.mean...X : num 0.078 0.074 0.0736 0.0773 0.0734 ...
## $ tBodyAccJerk.mean...Y : num 0.005 0.00577 0.0031 0.02006 0.01912 ...
## $ tBodyAccJerk.mean...Z : num -0.06783 0.02938 -0.00905 -0.00986 0.01678 ...
## $ tBodyGyro.mean...X : num -0.0061 -0.0161 -0.0317 -0.0434 -0.034 ...
## $ tBodyGyro.mean...Y : num -0.0314 -0.0839 -0.1023 -0.0914 -0.0747 ...
## $ tBodyGyro.mean...Z : num 0.1077 0.1006 0.0961 0.0855 0.0774 ...
## $ tBodyGyroJerk.mean...X : num -0.0992 -0.1105 -0.1085 -0.0912 -0.0908 ...
## $ tBodyGyroJerk.mean...Y : num -0.0555 -0.0448 -0.0424 -0.0363 -0.0376 ...
## $ tBodyGyroJerk.mean...Z : num -0.062 -0.0592 -0.0558 -0.0605 -0.0583 ...
## $ tBodyAccMag.mean.. : num -0.959 -0.979 -0.984 -0.987 -0.993 ...
## $ tGravityAccMag.mean.. : num -0.959 -0.979 -0.984 -0.987 -0.993 ...
## $ tBodyAccJerkMag.mean.. : num -0.993 -0.991 -0.989 -0.993 -0.993 ...
## $ tBodyGyroMag.mean.. : num -0.969 -0.981 -0.976 -0.982 -0.985 ...
## $ tBodyGyroJerkMag.mean.. : num -0.994 -0.995 -0.993 -0.996 -0.996 ...
## $ fBodyAcc.mean...X : num -0.995 -0.997 -0.994 -0.995 -0.997 ...
## $ fBodyAcc.mean...Y : num -0.983 -0.977 -0.973 -0.984 -0.982 ...
## $ fBodyAcc.mean...Z : num -0.939 -0.974 -0.983 -0.991 -0.988 ...
## $ fBodyAcc.meanFreq...X : num 0.252 0.271 0.125 0.029 0.181 ...
## $ fBodyAcc.meanFreq...Y : num 0.1318 0.0429 -0.0646 0.0803 0.058 ...
## $ fBodyAcc.meanFreq...Z : num -0.0521 -0.0143 0.0827 0.1857 0.5598 ...
## $ fBodyAccJerk.mean...X : num -0.992 -0.995 -0.991 -0.994 -0.996 ...
## $ fBodyAccJerk.mean...Y : num -0.987 -0.981 -0.982 -0.989 -0.989 ...
## $ fBodyAccJerk.mean...Z : num -0.99 -0.99 -0.988 -0.991 -0.991 ...
## $ fBodyAccJerk.meanFreq...X : num 0.8704 0.6085 0.1154 0.0358 0.2734 ...
## $ fBodyAccJerk.meanFreq...Y : num 0.2107 -0.0537 -0.1934 -0.093 0.0791 ...
## $ fBodyAccJerk.meanFreq...Z : num 0.2637 0.0631 0.0383 0.1681 0.2924 ...
## $ fBodyGyro.mean...X : num -0.987 -0.977 -0.975 -0.987 -0.982 ...
## $ fBodyGyro.mean...Y : num -0.982 -0.993 -0.994 -0.994 -0.993 ...
## $ fBodyGyro.mean...Z : num -0.99 -0.99 -0.987 -0.987 -0.989 ...
## $ fBodyGyro.meanFreq...X : num -0.2575 -0.0482 -0.2167 0.2169 -0.1533 ...
## $ fBodyGyro.meanFreq...Y : num 0.0979 -0.4016 -0.0173 -0.1352 -0.0884 ...
## $ fBodyGyro.meanFreq...Z : num 0.5472 -0.0682 -0.1107 -0.0497 -0.1622 ...
## $ fBodyAccMag.mean.. : num -0.952 -0.981 -0.988 -0.988 -0.994 ...
## $ fBodyAccMag.meanFreq.. : num -0.0884 -0.0441 0.2579 0.0736 0.3943 ...
## $ fBodyBodyAccJerkMag.mean.. : num -0.994 -0.99 -0.989 -0.993 -0.996 ...
## $ fBodyBodyAccJerkMag.meanFreq.. : num 0.347 0.532 0.661 0.679 0.559 ...
## $ fBodyBodyGyroMag.mean.. : num -0.98 -0.988 -0.989 -0.989 -0.991 ...
## $ fBodyBodyGyroMag.meanFreq.. : num -0.129 -0.272 -0.2127 -0.0357 -0.2736 ...
## $ fBodyBodyGyroJerkMag.mean.. : num -0.992 -0.996 -0.995 -0.995 -0.995 ...
## $ fBodyBodyGyroJerkMag.meanFreq.. : num -0.0743 0.1581 0.4145 0.4046 0.0878 ...
## $ angle.tBodyAccMean.gravity. : num -0.1128 0.0535 -0.1186 -0.0368 0.1233 ...
## $ angle.tBodyAccJerkMean..gravityMean.: num 0.0304 -0.00743 0.1779 -0.01289 0.12254 ...
## $ angle.tBodyGyroMean.gravityMean. : num -0.465 -0.733 0.101 0.64 0.694 ...
## $ angle.tBodyGyroJerkMean.gravityMean.: num -0.0184 0.7035 0.8085 -0.4854 -0.616 ...
## $ angle.X.gravityMean. : num -0.841 -0.845 -0.849 -0.849 -0.848 ...
## $ angle.Y.gravityMean. : num 0.18 0.18 0.181 0.182 0.185 ...
## $ angle.Z.gravityMean. : num -0.0586 -0.0543 -0.0491 -0.0477 -0.0439 ...
## $ tBodyAcc.std...X : num -0.995 -0.998 -0.995 -0.996 -0.998 ...
## $ tBodyAcc.std...Y : num -0.983 -0.975 -0.967 -0.983 -0.981 ...
## $ tBodyAcc.std...Z : num -0.914 -0.96 -0.979 -0.991 -0.99 ...
## $ tGravityAcc.std...X : num -0.985 -0.997 -1 -0.997 -0.998 ...
## $ tGravityAcc.std...Y : num -0.982 -0.989 -0.993 -0.981 -0.988 ...
## $ tGravityAcc.std...Z : num -0.878 -0.932 -0.993 -0.978 -0.979 ...
## $ tBodyAccJerk.std...X : num -0.994 -0.996 -0.991 -0.993 -0.996 ...
## $ tBodyAccJerk.std...Y : num -0.988 -0.981 -0.981 -0.988 -0.988 ...
## $ tBodyAccJerk.std...Z : num -0.994 -0.992 -0.99 -0.993 -0.992 ...
## $ tBodyGyro.std...X : num -0.985 -0.983 -0.976 -0.991 -0.985 ...
## $ tBodyGyro.std...Y : num -0.977 -0.989 -0.994 -0.992 -0.992 ...
## $ tBodyGyro.std...Z : num -0.992 -0.989 -0.986 -0.988 -0.987 ...
## $ tBodyGyroJerk.std...X : num -0.992 -0.99 -0.988 -0.991 -0.991 ...
## $ tBodyGyroJerk.std...Y : num -0.993 -0.997 -0.996 -0.997 -0.996 ...
## $ tBodyGyroJerk.std...Z : num -0.992 -0.994 -0.992 -0.993 -0.995 ...
## $ tBodyAccMag.std.. : num -0.951 -0.976 -0.988 -0.986 -0.991 ...
## $ tGravityAccMag.std.. : num -0.951 -0.976 -0.988 -0.986 -0.991 ...
## $ tBodyAccJerkMag.std.. : num -0.994 -0.992 -0.99 -0.993 -0.996 ...
## $ tBodyGyroMag.std.. : num -0.964 -0.984 -0.986 -0.987 -0.989 ...
## $ tBodyGyroJerkMag.std.. : num -0.991 -0.996 -0.995 -0.995 -0.995 ...
## $ fBodyAcc.std...X : num -0.995 -0.999 -0.996 -0.996 -0.999 ...
## $ fBodyAcc.std...Y : num -0.983 -0.975 -0.966 -0.983 -0.98 ...
## $ fBodyAcc.std...Z : num -0.906 -0.955 -0.977 -0.99 -0.992 ...
## $ fBodyAccJerk.std...X : num -0.996 -0.997 -0.991 -0.991 -0.997 ...
## $ fBodyAccJerk.std...Y : num -0.991 -0.982 -0.981 -0.987 -0.989 ...
## $ fBodyAccJerk.std...Z : num -0.997 -0.993 -0.99 -0.994 -0.993 ...
## $ fBodyGyro.std...X : num -0.985 -0.985 -0.977 -0.993 -0.986 ...
## $ fBodyGyro.std...Y : num -0.974 -0.987 -0.993 -0.992 -0.992 ...
## $ fBodyGyro.std...Z : num -0.994 -0.99 -0.987 -0.989 -0.988 ...
## $ fBodyAccMag.std.. : num -0.956 -0.976 -0.989 -0.987 -0.99 ...
## $ fBodyBodyAccJerkMag.std.. : num -0.994 -0.992 -0.991 -0.992 -0.994 ...
## $ fBodyBodyGyroMag.std.. : num -0.961 -0.983 -0.986 -0.988 -0.989 ...
## $ fBodyBodyGyroJerkMag.std.. : num -0.991 -0.996 -0.995 -0.995 -0.995 ...##3. NAME ACTIVITIES WITH DESCRIPTIVE ACTIVITY NAMES
Step 3: Uses descriptive activity names to name the activities in the data set.** ############################################################################### ###############################################################################
alldatacln$ID <- activity_labels[alldatacln$ID, 2]
names(alldatacln)[names(alldatacln) == "ID"] <- "activities"##4. APPROPRIATELY LABEL DATA WITH DESCRIPTIVE VARAIBLE NAMES ############################################################################### ############################################################################### Step 4: Appropriately labels the data set with descriptive variable names. ############################################################################### ###############################################################################
names(alldatacln)## [1] "subject"
## [2] "activities"
## [3] "tBodyAcc.mean...X"
## [4] "tBodyAcc.mean...Y"
## [5] "tBodyAcc.mean...Z"
## [6] "tGravityAcc.mean...X"
## [7] "tGravityAcc.mean...Y"
## [8] "tGravityAcc.mean...Z"
## [9] "tBodyAccJerk.mean...X"
## [10] "tBodyAccJerk.mean...Y"
## [11] "tBodyAccJerk.mean...Z"
## [12] "tBodyGyro.mean...X"
## [13] "tBodyGyro.mean...Y"
## [14] "tBodyGyro.mean...Z"
## [15] "tBodyGyroJerk.mean...X"
## [16] "tBodyGyroJerk.mean...Y"
## [17] "tBodyGyroJerk.mean...Z"
## [18] "tBodyAccMag.mean.."
## [19] "tGravityAccMag.mean.."
## [20] "tBodyAccJerkMag.mean.."
## [21] "tBodyGyroMag.mean.."
## [22] "tBodyGyroJerkMag.mean.."
## [23] "fBodyAcc.mean...X"
## [24] "fBodyAcc.mean...Y"
## [25] "fBodyAcc.mean...Z"
## [26] "fBodyAcc.meanFreq...X"
## [27] "fBodyAcc.meanFreq...Y"
## [28] "fBodyAcc.meanFreq...Z"
## [29] "fBodyAccJerk.mean...X"
## [30] "fBodyAccJerk.mean...Y"
## [31] "fBodyAccJerk.mean...Z"
## [32] "fBodyAccJerk.meanFreq...X"
## [33] "fBodyAccJerk.meanFreq...Y"
## [34] "fBodyAccJerk.meanFreq...Z"
## [35] "fBodyGyro.mean...X"
## [36] "fBodyGyro.mean...Y"
## [37] "fBodyGyro.mean...Z"
## [38] "fBodyGyro.meanFreq...X"
## [39] "fBodyGyro.meanFreq...Y"
## [40] "fBodyGyro.meanFreq...Z"
## [41] "fBodyAccMag.mean.."
## [42] "fBodyAccMag.meanFreq.."
## [43] "fBodyBodyAccJerkMag.mean.."
## [44] "fBodyBodyAccJerkMag.meanFreq.."
## [45] "fBodyBodyGyroMag.mean.."
## [46] "fBodyBodyGyroMag.meanFreq.."
## [47] "fBodyBodyGyroJerkMag.mean.."
## [48] "fBodyBodyGyroJerkMag.meanFreq.."
## [49] "angle.tBodyAccMean.gravity."
## [50] "angle.tBodyAccJerkMean..gravityMean."
## [51] "angle.tBodyGyroMean.gravityMean."
## [52] "angle.tBodyGyroJerkMean.gravityMean."
## [53] "angle.X.gravityMean."
## [54] "angle.Y.gravityMean."
## [55] "angle.Z.gravityMean."
## [56] "tBodyAcc.std...X"
## [57] "tBodyAcc.std...Y"
## [58] "tBodyAcc.std...Z"
## [59] "tGravityAcc.std...X"
## [60] "tGravityAcc.std...Y"
## [61] "tGravityAcc.std...Z"
## [62] "tBodyAccJerk.std...X"
## [63] "tBodyAccJerk.std...Y"
## [64] "tBodyAccJerk.std...Z"
## [65] "tBodyGyro.std...X"
## [66] "tBodyGyro.std...Y"
## [67] "tBodyGyro.std...Z"
## [68] "tBodyGyroJerk.std...X"
## [69] "tBodyGyroJerk.std...Y"
## [70] "tBodyGyroJerk.std...Z"
## [71] "tBodyAccMag.std.."
## [72] "tGravityAccMag.std.."
## [73] "tBodyAccJerkMag.std.."
## [74] "tBodyGyroMag.std.."
## [75] "tBodyGyroJerkMag.std.."
## [76] "fBodyAcc.std...X"
## [77] "fBodyAcc.std...Y"
## [78] "fBodyAcc.std...Z"
## [79] "fBodyAccJerk.std...X"
## [80] "fBodyAccJerk.std...Y"
## [81] "fBodyAccJerk.std...Z"
## [82] "fBodyGyro.std...X"
## [83] "fBodyGyro.std...Y"
## [84] "fBodyGyro.std...Z"
## [85] "fBodyAccMag.std.."
## [86] "fBodyBodyAccJerkMag.std.."
## [87] "fBodyBodyGyroMag.std.."
## [88] "fBodyBodyGyroJerkMag.std.."# Remove parentheses
names(alldatacln) <- gsub('\\(|\\)',"",names(alldatacln), perl = TRUE)
#Assign/rename with valid names
names(alldatacln) <- make.names(names(alldatacln))
# Assign/define clear names label
names(alldatacln) <- gsub("tBody","Timedomainbody",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("tGravity","Timedomaingravity",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("fBody","domainbodyfrequency",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("Acc","Acceleration",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("Gyro", "Angularvelocity",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-XYZ","3axialsignals",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-X","Xaxis",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-Y","Yaxis",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-Z","ZAxis",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("Mag","Magnitudesignals",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-mean()","Meanvalue",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-std()","Standarddeviation",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-mad()","Medianabsolutedeviation ",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-max()","Largestvalueinarray",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-min()","SmallestvalueinArray",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-sma()","Signalmagnitudearea",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-energy()","Energymeasure",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-iqr()","Interquartilerange ",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-entropy()","Signalentropy",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-arCoeff()","AutoregresioncoefficientswithburgOrderequalTo4",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-correlation()","Correlationcoefficient",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-maxInds()", "LargestMagnitudewithIndexoffrequencycomponent",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-meanFreq()","WeightedaverageOffrequencyComponentsForMeanFrequency",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-skewness()","Skewness",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-kurtosis()","Kurtosis",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub("-bandsEnergy()","EnergyOffrequencyinterval.",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub('GyroJerk',"Angularacceleration",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub('^t',"Timedomain.",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub('^f',"Frequencydomain.",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub('Freq\\.',"Frequency.",names(alldatacln), fixed = TRUE)
names(alldatacln) <- gsub('Freq$',"Frequency",names(alldatacln), fixed = TRUE)##5. CREATING INDEPENDENT TIDY DATASET ############################################################################### ############################################################################### Step 5: From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject. ############################################################################### ###############################################################################
tidyUCI_HARdata <- ddply(alldatacln, c("subject","activities"), numcolwise(mean))
write.table(tidyUCI_HARdata, file = "newtidy UCI_HARdata.txt", row.name = FALSE, col.names = TRUE)
print("The script 'run_analysis.R successfully executed with the file tidyUCI_HARdata.txt saved in the working directory, in folder UCI HAR Dataset.")## [1] "The script 'run_analysis.R successfully executed with the file tidyUCI_HARdata.txt saved in the working directory, in folder UCI HAR Dataset."#CONCLUSION All done we will check our new data to confirm what we have just done
str(tidyUCI_HARdata)## 'data.frame': 180 obs. of 88 variables:
## $ subject : int 1 1 1 1 1 1 2 2 2 2 ...
## $ activities : chr "LAYING" "SITTING" "STANDING" "WALKING" ...
## $ TimedomainbodyAcceleration.mean...X : num 0.222 0.261 0.279 0.277 0.289 ...
## $ TimedomainbodyAcceleration.mean...Y : num -0.04051 -0.00131 -0.01614 -0.01738 -0.00992 ...
## $ TimedomainbodyAcceleration.mean...Z : num -0.113 -0.105 -0.111 -0.111 -0.108 ...
## $ TimedomaingravityAcceleration.mean...X : num -0.249 0.832 0.943 0.935 0.932 ...
## $ TimedomaingravityAcceleration.mean...Y : num 0.706 0.204 -0.273 -0.282 -0.267 ...
## $ TimedomaingravityAcceleration.mean...Z : num 0.4458 0.332 0.0135 -0.0681 -0.0621 ...
## $ TimedomainbodyAccelerationJerk.mean...X : num 0.0811 0.0775 0.0754 0.074 0.0542 ...
## $ TimedomainbodyAccelerationJerk.mean...Y : num 0.003838 -0.000619 0.007976 0.028272 0.02965 ...
## $ TimedomainbodyAccelerationJerk.mean...Z : num 0.01083 -0.00337 -0.00369 -0.00417 -0.01097 ...
## $ TimedomainbodyAngularvelocity.mean...X : num -0.0166 -0.0454 -0.024 -0.0418 -0.0351 ...
## $ TimedomainbodyAngularvelocity.mean...Y : num -0.0645 -0.0919 -0.0594 -0.0695 -0.0909 ...
## $ TimedomainbodyAngularvelocity.mean...Z : num 0.1487 0.0629 0.0748 0.0849 0.0901 ...
## $ TimedomainbodyAngularvelocityJerk.mean...X : num -0.1073 -0.0937 -0.0996 -0.09 -0.074 ...
## $ TimedomainbodyAngularvelocityJerk.mean...Y : num -0.0415 -0.0402 -0.0441 -0.0398 -0.044 ...
## $ TimedomainbodyAngularvelocityJerk.mean...Z : num -0.0741 -0.0467 -0.049 -0.0461 -0.027 ...
## $ TimedomainbodyAccelerationMagnitudesignals.mean.. : num -0.8419 -0.9485 -0.9843 -0.137 0.0272 ...
## $ TimedomaingravityAccelerationMagnitudesignals.mean.. : num -0.8419 -0.9485 -0.9843 -0.137 0.0272 ...
## $ TimedomainbodyAccelerationJerkMagnitudesignals.mean.. : num -0.9544 -0.9874 -0.9924 -0.1414 -0.0894 ...
## $ TimedomainbodyAngularvelocityMagnitudesignals.mean.. : num -0.8748 -0.9309 -0.9765 -0.161 -0.0757 ...
## $ TimedomainbodyAngularvelocityJerkMagnitudesignals.mean.. : num -0.963 -0.992 -0.995 -0.299 -0.295 ...
## $ domainbodyfrequencyAcceleration.mean...X : num -0.9391 -0.9796 -0.9952 -0.2028 0.0382 ...
## $ domainbodyfrequencyAcceleration.mean...Y : num -0.86707 -0.94408 -0.97707 0.08971 0.00155 ...
## $ domainbodyfrequencyAcceleration.mean...Z : num -0.883 -0.959 -0.985 -0.332 -0.226 ...
## $ domainbodyfrequencyAcceleration.meanFreq...X : num -0.1588 -0.0495 0.0865 -0.2075 -0.3074 ...
## $ domainbodyfrequencyAcceleration.meanFreq...Y : num 0.0975 0.0759 0.1175 0.1131 0.0632 ...
## $ domainbodyfrequencyAcceleration.meanFreq...Z : num 0.0894 0.2388 0.2449 0.0497 0.2943 ...
## $ domainbodyfrequencyAccelerationJerk.mean...X : num -0.9571 -0.9866 -0.9946 -0.1705 -0.0277 ...
## $ domainbodyfrequencyAccelerationJerk.mean...Y : num -0.9225 -0.9816 -0.9854 -0.0352 -0.1287 ...
## $ domainbodyfrequencyAccelerationJerk.mean...Z : num -0.948 -0.986 -0.991 -0.469 -0.288 ...
## $ domainbodyfrequencyAccelerationJerk.meanFreq...X : num 0.132 0.257 0.314 -0.209 -0.253 ...
## $ domainbodyfrequencyAccelerationJerk.meanFreq...Y : num 0.0245 0.0475 0.0392 -0.3862 -0.3376 ...
## $ domainbodyfrequencyAccelerationJerk.meanFreq...Z : num 0.02439 0.09239 0.13858 -0.18553 0.00937 ...
## $ domainbodyfrequencyAngularvelocity.mean...X : num -0.85 -0.976 -0.986 -0.339 -0.352 ...
## $ domainbodyfrequencyAngularvelocity.mean...Y : num -0.9522 -0.9758 -0.989 -0.1031 -0.0557 ...
## $ domainbodyfrequencyAngularvelocity.mean...Z : num -0.9093 -0.9513 -0.9808 -0.2559 -0.0319 ...
## $ domainbodyfrequencyAngularvelocity.meanFreq...X : num -0.00355 0.18915 -0.12029 0.01478 -0.10045 ...
## $ domainbodyfrequencyAngularvelocity.meanFreq...Y : num -0.0915 0.0631 -0.0447 -0.0658 0.0826 ...
## $ domainbodyfrequencyAngularvelocity.meanFreq...Z : num 0.010458 -0.029784 0.100608 0.000773 -0.075676 ...
## $ domainbodyfrequencyAccelerationMagnitudesignals.mean.. : num -0.8618 -0.9478 -0.9854 -0.1286 0.0966 ...
## $ domainbodyfrequencyAccelerationMagnitudesignals.meanFreq.. : num 0.0864 0.2367 0.2846 0.1906 0.1192 ...
## $ domainbodyfrequencyBodyAccelerationJerkMagnitudesignals.mean.. : num -0.9333 -0.9853 -0.9925 -0.0571 0.0262 ...
## $ domainbodyfrequencyBodyAccelerationJerkMagnitudesignals.meanFreq.. : num 0.2664 0.3519 0.4222 0.0938 0.0765 ...
## $ domainbodyfrequencyBodyAngularvelocityMagnitudesignals.mean.. : num -0.862 -0.958 -0.985 -0.199 -0.186 ...
## $ domainbodyfrequencyBodyAngularvelocityMagnitudesignals.meanFreq.. : num -0.139775 -0.000262 -0.028606 0.268844 0.349614 ...
## $ domainbodyfrequencyBodyAngularvelocityJerkMagnitudesignals.mean.. : num -0.942 -0.99 -0.995 -0.319 -0.282 ...
## $ domainbodyfrequencyBodyAngularvelocityJerkMagnitudesignals.meanFreq..: num 0.176 0.185 0.334 0.191 0.19 ...
## $ angle.TimedomainbodyAccelerationMean.gravity. : num 0.021366 0.027442 -0.000222 0.060454 -0.002695 ...
## $ angle.TimedomainbodyAccelerationJerkMean..gravityMean. : num 0.00306 0.02971 0.02196 -0.00793 0.08993 ...
## $ angle.TimedomainbodyAngularvelocityMean.gravityMean. : num -0.00167 0.0677 -0.03379 0.01306 0.06334 ...
## $ angle.TimedomainbodyAngularvelocityJerkMean.gravityMean. : num 0.0844 -0.0649 -0.0279 -0.0187 -0.04 ...
## $ angle.X.gravityMean. : num 0.427 -0.591 -0.743 -0.729 -0.744 ...
## $ angle.Y.gravityMean. : num -0.5203 -0.0605 0.2702 0.277 0.2672 ...
## $ angle.Z.gravityMean. : num -0.3524 -0.218 0.0123 0.0689 0.065 ...
## $ TimedomainbodyAcceleration.std...X : num -0.928 -0.977 -0.996 -0.284 0.03 ...
## $ TimedomainbodyAcceleration.std...Y : num -0.8368 -0.9226 -0.9732 0.1145 -0.0319 ...
## $ TimedomainbodyAcceleration.std...Z : num -0.826 -0.94 -0.98 -0.26 -0.23 ...
## $ TimedomaingravityAcceleration.std...X : num -0.897 -0.968 -0.994 -0.977 -0.951 ...
## $ TimedomaingravityAcceleration.std...Y : num -0.908 -0.936 -0.981 -0.971 -0.937 ...
## $ TimedomaingravityAcceleration.std...Z : num -0.852 -0.949 -0.976 -0.948 -0.896 ...
## $ TimedomainbodyAccelerationJerk.std...X : num -0.9585 -0.9864 -0.9946 -0.1136 -0.0123 ...
## $ TimedomainbodyAccelerationJerk.std...Y : num -0.924 -0.981 -0.986 0.067 -0.102 ...
## $ TimedomainbodyAccelerationJerk.std...Z : num -0.955 -0.988 -0.992 -0.503 -0.346 ...
## $ TimedomainbodyAngularvelocity.std...X : num -0.874 -0.977 -0.987 -0.474 -0.458 ...
## $ TimedomainbodyAngularvelocity.std...Y : num -0.9511 -0.9665 -0.9877 -0.0546 -0.1263 ...
## $ TimedomainbodyAngularvelocity.std...Z : num -0.908 -0.941 -0.981 -0.344 -0.125 ...
## $ TimedomainbodyAngularvelocityJerk.std...X : num -0.919 -0.992 -0.993 -0.207 -0.487 ...
## $ TimedomainbodyAngularvelocityJerk.std...Y : num -0.968 -0.99 -0.995 -0.304 -0.239 ...
## $ TimedomainbodyAngularvelocityJerk.std...Z : num -0.958 -0.988 -0.992 -0.404 -0.269 ...
## $ TimedomainbodyAccelerationMagnitudesignals.std.. : num -0.7951 -0.9271 -0.9819 -0.2197 0.0199 ...
## $ TimedomaingravityAccelerationMagnitudesignals.std.. : num -0.7951 -0.9271 -0.9819 -0.2197 0.0199 ...
## $ TimedomainbodyAccelerationJerkMagnitudesignals.std.. : num -0.9282 -0.9841 -0.9931 -0.0745 -0.0258 ...
## $ TimedomainbodyAngularvelocityMagnitudesignals.std.. : num -0.819 -0.935 -0.979 -0.187 -0.226 ...
## $ TimedomainbodyAngularvelocityJerkMagnitudesignals.std.. : num -0.936 -0.988 -0.995 -0.325 -0.307 ...
## $ domainbodyfrequencyAcceleration.std...X : num -0.9244 -0.9764 -0.996 -0.3191 0.0243 ...
## $ domainbodyfrequencyAcceleration.std...Y : num -0.834 -0.917 -0.972 0.056 -0.113 ...
## $ domainbodyfrequencyAcceleration.std...Z : num -0.813 -0.934 -0.978 -0.28 -0.298 ...
## $ domainbodyfrequencyAccelerationJerk.std...X : num -0.9642 -0.9875 -0.9951 -0.1336 -0.0863 ...
## $ domainbodyfrequencyAccelerationJerk.std...Y : num -0.932 -0.983 -0.987 0.107 -0.135 ...
## $ domainbodyfrequencyAccelerationJerk.std...Z : num -0.961 -0.988 -0.992 -0.535 -0.402 ...
## $ domainbodyfrequencyAngularvelocity.std...X : num -0.882 -0.978 -0.987 -0.517 -0.495 ...
## $ domainbodyfrequencyAngularvelocity.std...Y : num -0.9512 -0.9623 -0.9871 -0.0335 -0.1814 ...
## $ domainbodyfrequencyAngularvelocity.std...Z : num -0.917 -0.944 -0.982 -0.437 -0.238 ...
## $ domainbodyfrequencyAccelerationMagnitudesignals.std.. : num -0.798 -0.928 -0.982 -0.398 -0.187 ...
## $ domainbodyfrequencyBodyAccelerationJerkMagnitudesignals.std.. : num -0.922 -0.982 -0.993 -0.103 -0.104 ...
## $ domainbodyfrequencyBodyAngularvelocityMagnitudesignals.std.. : num -0.824 -0.932 -0.978 -0.321 -0.398 ...
## $ domainbodyfrequencyBodyAngularvelocityJerkMagnitudesignals.std.. : num -0.933 -0.987 -0.995 -0.382 -0.392 ...A view of the new data set
tidyUCI_HARdata## subject activities TimedomainbodyAcceleration.mean...X
## 1 1 LAYING 0.2215982
## 2 1 SITTING 0.2612376
## 3 1 STANDING 0.2789176
## 4 1 WALKING 0.2773308
## 5 1 WALKING_DOWNSTAIRS 0.2891883
## 6 1 WALKING_UPSTAIRS 0.2554617
## 7 2 LAYING 0.2813734
## 8 2 SITTING 0.2770874
## 9 2 STANDING 0.2779115
## 10 2 WALKING 0.2764266
## 11 2 WALKING_DOWNSTAIRS 0.2776153
## 12 2 WALKING_UPSTAIRS 0.2471648
## 13 3 LAYING 0.2755169
## 14 3 SITTING 0.2571976
## 15 3 STANDING 0.2800465
## 16 3 WALKING 0.2755675
## 17 3 WALKING_DOWNSTAIRS 0.2924235
## 18 3 WALKING_UPSTAIRS 0.2608199
## 19 4 LAYING 0.2635592
## 20 4 SITTING 0.2715383
## 21 4 STANDING 0.2804997
## 22 4 WALKING 0.2785820
## 23 4 WALKING_DOWNSTAIRS 0.2799653
## 24 4 WALKING_UPSTAIRS 0.2708767
## 25 5 LAYING 0.2783343
## 26 5 SITTING 0.2736941
## 27 5 STANDING 0.2825444
## 28 5 WALKING 0.2778423
## 29 5 WALKING_DOWNSTAIRS 0.2935439
## 30 5 WALKING_UPSTAIRS 0.2684595
## 31 6 LAYING 0.2486565
## 32 6 SITTING 0.2767785
## 33 6 STANDING 0.2803462
## 34 6 WALKING 0.2836589
## 35 6 WALKING_DOWNSTAIRS 0.2770453
## 36 6 WALKING_UPSTAIRS 0.2682294
## 37 7 LAYING 0.2501767
## 38 7 SITTING 0.2846746
## 39 7 STANDING 0.2827235
## 40 7 WALKING 0.2755930
## 41 7 WALKING_DOWNSTAIRS 0.2803071
## 42 7 WALKING_UPSTAIRS 0.2487069
## 43 8 LAYING 0.2612543
## 44 8 SITTING 0.2674915
## 45 8 STANDING 0.2796210
## 46 8 WALKING 0.2746863
## 47 8 WALKING_DOWNSTAIRS 0.2834841
## 48 8 WALKING_UPSTAIRS 0.2588802
## 49 9 LAYING 0.2591955
## 50 9 SITTING 0.2483267
## 51 9 STANDING 0.2823101
## 52 9 WALKING 0.2785028
## 53 9 WALKING_DOWNSTAIRS 0.2959234
## 54 9 WALKING_UPSTAIRS 0.2624365
## 55 10 LAYING 0.2802306
## 56 10 SITTING 0.2706121
## 57 10 STANDING 0.2766503
## 58 10 WALKING 0.2785741
## 59 10 WALKING_DOWNSTAIRS 0.2904016
## 60 10 WALKING_UPSTAIRS 0.2671219
## 61 11 LAYING 0.2805930
## 62 11 SITTING 0.2765902
## 63 11 STANDING 0.2777156
## 64 11 WALKING 0.2718219
## 65 11 WALKING_DOWNSTAIRS 0.2916056
## 66 11 WALKING_UPSTAIRS 0.2637759
## 67 12 LAYING 0.2601134
## 68 12 SITTING 0.2750072
## 69 12 STANDING 0.2774058
## 70 12 WALKING 0.2771287
## 71 12 WALKING_DOWNSTAIRS 0.2815211
## 72 12 WALKING_UPSTAIRS 0.2729703
## 73 13 LAYING 0.2767164
## 74 13 SITTING 0.2743285
## 75 13 STANDING 0.2777584
## 76 13 WALKING 0.2758831
## 77 13 WALKING_DOWNSTAIRS 0.2949076
## 78 13 WALKING_UPSTAIRS 0.2582039
## 79 14 LAYING 0.2332754
## 80 14 SITTING 0.2799906
## 81 14 STANDING 0.2805456
## 82 14 WALKING 0.2719596
## 83 14 WALKING_DOWNSTAIRS 0.2934221
## 84 14 WALKING_UPSTAIRS 0.2624211
## 85 15 LAYING 0.2894757
## 86 15 SITTING 0.2729034
## 87 15 STANDING 0.2789158
## 88 15 WALKING 0.2738992
## 89 15 WALKING_DOWNSTAIRS 0.2801989
## 90 15 WALKING_UPSTAIRS 0.2701876
## 91 16 LAYING 0.2742272
## 92 16 SITTING 0.2807686
## 93 16 STANDING 0.2834974
## 94 16 WALKING 0.2760236
## 95 16 WALKING_DOWNSTAIRS 0.2955868
## 96 16 WALKING_UPSTAIRS 0.2559861
## 97 17 LAYING 0.2697801
## 98 17 SITTING 0.2773570
## 99 17 STANDING 0.2779425
## 100 17 WALKING 0.2723419
## 101 17 WALKING_DOWNSTAIRS 0.2939183
## 102 17 WALKING_UPSTAIRS 0.2526048
## 103 18 LAYING 0.2746916
## 104 18 SITTING 0.2772700
## 105 18 STANDING 0.2784588
## 106 18 WALKING 0.2738878
## 107 18 WALKING_DOWNSTAIRS 0.2884395
## 108 18 WALKING_UPSTAIRS 0.2654012
## 109 19 LAYING 0.2726537
## 110 19 SITTING 0.2738303
## 111 19 STANDING 0.2781723
## 112 19 WALKING 0.2739312
## 113 19 WALKING_DOWNSTAIRS 0.2626881
## 114 19 WALKING_UPSTAIRS 0.2421188
## 115 20 LAYING 0.2395079
## 116 20 SITTING 0.2780454
## 117 20 STANDING 0.2780769
## 118 20 WALKING 0.2725893
## 119 20 WALKING_DOWNSTAIRS 0.2961444
## 120 20 WALKING_UPSTAIRS 0.2520983
## 121 21 LAYING 0.2713255
## 122 21 SITTING 0.2775396
## 123 21 STANDING 0.2769522
## 124 21 WALKING 0.2791835
## 125 21 WALKING_DOWNSTAIRS 0.3014610
## 126 21 WALKING_UPSTAIRS 0.2651945
## 127 22 LAYING 0.2799597
## 128 22 SITTING 0.2735838
## 129 22 STANDING 0.2790539
## 130 22 WALKING 0.2788646
## 131 22 WALKING_DOWNSTAIRS 0.2844590
## 132 22 WALKING_UPSTAIRS 0.2483915
## 133 23 LAYING 0.2740380
## 134 23 SITTING 0.2733513
## 135 23 STANDING 0.2778993
## 136 23 WALKING 0.2732119
## 137 23 WALKING_DOWNSTAIRS 0.2898974
## 138 23 WALKING_UPSTAIRS 0.2499952
## 139 24 LAYING 0.2728505
## 140 24 SITTING 0.2734757
## 141 24 STANDING 0.2803489
## 142 24 WALKING 0.2769808
## 143 24 WALKING_DOWNSTAIRS 0.2886312
## 144 24 WALKING_UPSTAIRS 0.2698811
## 145 25 LAYING 0.2507918
## 146 25 SITTING 0.2785415
## 147 25 STANDING 0.2780137
## 148 25 WALKING 0.2789928
## 149 25 WALKING_DOWNSTAIRS 0.2913297
## 150 25 WALKING_UPSTAIRS 0.2779954
## 151 26 LAYING 0.2716459
## 152 26 SITTING 0.2582435
## 153 26 STANDING 0.2811270
## 154 26 WALKING 0.2792644
## 155 26 WALKING_DOWNSTAIRS 0.2792846
## 156 26 WALKING_UPSTAIRS 0.2726914
## 157 27 LAYING 0.2741025
## 158 27 SITTING 0.2739413
## 159 27 STANDING 0.2795669
## 160 27 WALKING 0.2768495
## 161 27 WALKING_DOWNSTAIRS 0.2975442
## 162 27 WALKING_UPSTAIRS 0.2657703
## 163 28 LAYING 0.2759135
## 164 28 SITTING 0.2769776
## 165 28 STANDING 0.2777951
## 166 28 WALKING 0.2812282
## 167 28 WALKING_DOWNSTAIRS 0.2936421
## 168 28 WALKING_UPSTAIRS 0.2620058
## 169 29 LAYING 0.2872952
## 170 29 SITTING 0.2771800
## 171 29 STANDING 0.2779651
## 172 29 WALKING 0.2719999
## 173 29 WALKING_DOWNSTAIRS 0.2931404
## 174 29 WALKING_UPSTAIRS 0.2654231
## 175 30 LAYING 0.2810339
## 176 30 SITTING 0.2683361
## 177 30 STANDING 0.2771127
## 178 30 WALKING 0.2764068
## 179 30 WALKING_DOWNSTAIRS 0.2831906
## 180 30 WALKING_UPSTAIRS 0.2714156
## TimedomainbodyAcceleration.mean...Y TimedomainbodyAcceleration.mean...Z
## 1 -0.040513953 -0.11320355
## 2 -0.001308288 -0.10454418
## 3 -0.016137590 -0.11060182
## 4 -0.017383819 -0.11114810
## 5 -0.009918505 -0.10756619
## 6 -0.023953149 -0.09730200
## 7 -0.018158740 -0.10724561
## 8 -0.015687994 -0.10921827
## 9 -0.018420827 -0.10590854
## 10 -0.018594920 -0.10550036
## 11 -0.022661416 -0.11681294
## 12 -0.021412113 -0.15251390
## 13 -0.018955679 -0.10130048
## 14 -0.003502998 -0.09835792
## 15 -0.014337656 -0.10162172
## 16 -0.017176784 -0.11267486
## 17 -0.019355408 -0.11613984
## 18 -0.032410941 -0.11006486
## 19 -0.015003184 -0.11068815
## 20 -0.007163065 -0.10587460
## 21 -0.009489111 -0.09615749
## 22 -0.014839948 -0.11140306
## 23 -0.009802009 -0.10677752
## 24 -0.031980430 -0.11421946
## 25 -0.018304212 -0.10793760
## 26 -0.009900835 -0.10854030
## 27 -0.007004186 -0.10217110
## 28 -0.017285032 -0.10774178
## 29 -0.008501075 -0.10031993
## 30 -0.032526976 -0.10747145
## 31 -0.010252917 -0.13311957
## 32 -0.014591162 -0.11012773
## 33 -0.018123633 -0.11217283
## 34 -0.016895419 -0.11030317
## 35 -0.019536840 -0.10720936
## 36 -0.027242539 -0.12208244
## 37 -0.020441152 -0.10136104
## 38 -0.014610976 -0.12246460
## 39 -0.014574034 -0.09977783
## 40 -0.018653665 -0.11091223
## 41 -0.016633237 -0.09693831
## 42 -0.027563901 -0.14376969
## 43 -0.021228173 -0.10224537
## 44 -0.006725506 -0.10446105
## 45 -0.014811307 -0.10611500
## 46 -0.018662887 -0.10725209
## 47 -0.021105867 -0.10759814
## 48 -0.028241514 -0.11512212
## 49 -0.020526822 -0.10754972
## 50 -0.027016777 -0.07537847
## 51 -0.020045495 -0.09527475
## 52 -0.018089197 -0.11082051
## 53 -0.020399427 -0.09102788
## 54 -0.019510110 -0.12521900
## 55 -0.024294484 -0.11716864
## 56 -0.015042682 -0.10425324
## 57 -0.015541860 -0.10796408
## 58 -0.017022351 -0.10905751
## 59 -0.020005077 -0.11084860
## 60 -0.014385492 -0.11818042
## 61 -0.017659805 -0.10878658
## 62 -0.014919562 -0.11284022
## 63 -0.017199089 -0.10868663
## 64 -0.016647583 -0.10609630
## 65 -0.017809772 -0.11107015
## 66 -0.030315782 -0.10679722
## 67 -0.017520392 -0.10816013
## 68 -0.015789299 -0.10630723
## 69 -0.016900254 -0.10552700
## 70 -0.015560928 -0.10316111
## 71 -0.018084267 -0.10955593
## 72 -0.026357490 -0.10733973
## 73 -0.020440454 -0.10433186
## 74 -0.005877329 -0.09724651
## 75 -0.016789199 -0.11212414
## 76 -0.018566065 -0.11143146
## 77 -0.014372384 -0.10199394
## 78 -0.027739225 -0.12576727
## 79 -0.011342465 -0.08683333
## 80 -0.008705655 -0.10040149
## 81 -0.015207813 -0.10381770
## 82 -0.021778538 -0.10675637
## 83 -0.020014141 -0.09283302
## 84 -0.020438818 -0.11227969
## 85 -0.016629654 -0.11853024
## 86 -0.011718847 -0.11366125
## 87 -0.018351636 -0.10591083
## 88 -0.017080974 -0.10762182
## 89 -0.005630478 -0.11052607
## 90 -0.028752386 -0.11695246
## 91 -0.016610351 -0.10731049
## 92 -0.010249794 -0.08914040
## 93 -0.016599967 -0.10365773
## 94 -0.020428693 -0.10880405
## 95 -0.018389858 -0.11987371
## 96 -0.014365495 -0.12407452
## 97 -0.016846201 -0.10700628
## 98 -0.014156274 -0.11362409
## 99 -0.017412006 -0.11143215
## 100 -0.018487540 -0.10979212
## 101 -0.016735940 -0.08924327
## 102 -0.022864561 -0.12129044
## 103 -0.017393768 -0.10769893
## 104 -0.012869128 -0.11190478
## 105 -0.016635352 -0.10845336
## 106 -0.017802363 -0.10421832
## 107 -0.016866692 -0.10339081
## 108 -0.022206068 -0.11265589
## 109 -0.017142686 -0.10898146
## 110 -0.016739260 -0.10870765
## 111 -0.015424406 -0.10904190
## 112 -0.019177359 -0.12273667
## 113 -0.014594228 -0.13369524
## 114 -0.030398662 -0.15105461
## 115 -0.014440628 -0.10427432
## 116 -0.014722931 -0.10836963
## 117 -0.018069505 -0.10040276
## 118 -0.021199992 -0.11353948
## 119 -0.009641208 -0.10460293
## 120 -0.028225805 -0.12102395
## 121 -0.018423305 -0.10325383
## 122 -0.014400971 -0.11205789
## 123 -0.016708473 -0.11041786
## 124 -0.018161032 -0.10431933
## 125 -0.017319539 -0.09816866
## 126 -0.023721870 -0.12541427
## 127 -0.014262986 -0.11080092
## 128 -0.012346845 -0.10582737
## 129 -0.015856321 -0.10496742
## 130 -0.016721361 -0.10711251
## 131 -0.019799937 -0.10741578
## 132 -0.026862256 -0.11755086
## 133 -0.021655384 -0.10425678
## 134 -0.013394502 -0.10380868
## 135 -0.017747555 -0.11059702
## 136 -0.018361871 -0.11338299
## 137 -0.016211146 -0.09881237
## 138 -0.032384403 -0.12689062
## 139 -0.017355521 -0.10723624
## 140 -0.013125510 -0.10304106
## 141 -0.014478534 -0.10822255
## 142 -0.022544640 -0.11059595
## 143 -0.014573035 -0.10481882
## 144 -0.025197943 -0.11424861
## 145 -0.018894366 -0.10042883
## 146 -0.014769681 -0.10916044
## 147 -0.016356973 -0.10735296
## 148 -0.018647762 -0.10873764
## 149 -0.021017052 -0.10719238
## 150 -0.026986352 -0.12621044
## 151 -0.019189573 -0.10500254
## 152 -0.007133645 -0.09744487
## 153 -0.016660831 -0.11023780
## 154 -0.015425959 -0.10892701
## 155 -0.012625810 -0.10643962
## 156 -0.028163380 -0.12194346
## 157 -0.017986761 -0.10769973
## 158 -0.015526980 -0.10552191
## 159 -0.016593236 -0.10783582
## 160 -0.016647878 -0.11282229
## 161 -0.013556447 -0.11283769
## 162 -0.020095332 -0.12353044
## 163 -0.016753786 -0.10834485
## 164 -0.018540444 -0.11151794
## 165 -0.017263512 -0.10657939
## 166 -0.015675972 -0.10371471
## 167 -0.022023047 -0.10858897
## 168 -0.027944394 -0.12151403
## 169 -0.017196548 -0.10946207
## 170 -0.016630680 -0.11041182
## 171 -0.017260587 -0.10865907
## 172 -0.016291560 -0.10663243
## 173 -0.014941215 -0.09813400
## 174 -0.029946531 -0.11800059
## 175 -0.019449410 -0.10365815
## 176 -0.008047313 -0.09951545
## 177 -0.017016389 -0.10875621
## 178 -0.017588039 -0.09862471
## 179 -0.017438390 -0.09997814
## 180 -0.025331170 -0.12469749
## TimedomaingravityAcceleration.mean...X
## 1 -0.2488818
## 2 0.8315099
## 3 0.9429520
## 4 0.9352232
## 5 0.9318744
## 6 0.8933511
## 7 -0.5097542
## 8 0.9404773
## 9 0.8969286
## 10 0.9130173
## 11 0.8618313
## 12 0.7907174
## 13 -0.2417585
## 14 0.9010990
## 15 0.9350308
## 16 0.9365067
## 17 0.9390578
## 18 0.8835334
## 19 -0.4206647
## 20 0.8693030
## 21 0.9561978
## 22 0.9639997
## 23 0.9477319
## 24 0.9462643
## 25 -0.4834706
## 26 0.8807314
## 27 0.9601887
## 28 0.9726250
## 29 0.9566494
## 30 0.9368218
## 31 -0.4767099
## 32 0.9336929
## 33 0.9451390
## 34 0.9580675
## 35 0.9285315
## 36 0.9136322
## 37 -0.5028143
## 38 0.9691478
## 39 0.9587287
## 40 0.9325665
## 41 0.9306236
## 42 0.8187466
## 43 -0.4059300
## 44 0.8324539
## 45 0.9576699
## 46 0.9135863
## 47 0.9140235
## 48 0.8603687
## 49 -0.5802528
## 50 0.9163245
## 51 0.9613235
## 52 0.9518671
## 53 0.9384178
## 54 0.9026478
## 55 -0.4530697
## 56 0.7918872
## 57 0.9540088
## 58 0.9630921
## 59 0.9398074
## 60 0.9318610
## 61 -0.1348320
## 62 0.8719638
## 63 0.9564645
## 64 0.9464685
## 65 0.9417464
## 66 0.8926262
## 67 -0.3785921
## 68 0.9262290
## 69 0.9573178
## 70 0.9668735
## 71 0.9498620
## 72 0.9383715
## 73 -0.1568522
## 74 0.9255765
## 75 0.9426953
## 76 0.9108557
## 77 0.9418756
## 78 0.8476343
## 79 -0.1454836
## 80 0.9390388
## 81 0.8753196
## 82 0.8029740
## 83 0.8162964
## 84 0.6882561
## 85 -0.1719931
## 86 0.8903643
## 87 0.9655289
## 88 0.9515244
## 89 0.9323022
## 90 0.9185448
## 91 -0.2067837
## 92 0.9424574
## 93 0.9415877
## 94 0.9259813
## 95 0.9178184
## 96 0.8268743
## 97 -0.1991331
## 98 0.9448837
## 99 0.9046785
## 100 0.9281124
## 101 0.9288176
## 102 0.8535306
## 103 -0.2206005
## 104 0.9098165
## 105 0.9475732
## 106 0.9238652
## 107 0.9322775
## 108 0.8833303
## 109 -0.6800432
## 110 0.5813715
## 111 0.9440458
## 112 0.9352226
## 113 0.8819409
## 114 0.8294284
## 115 -0.4724314
## 116 0.9244545
## 117 0.9112318
## 118 0.8999652
## 119 0.9197266
## 120 0.7770957
## 121 -0.1743492
## 122 0.9400314
## 123 0.8812133
## 124 0.8625248
## 125 0.8726832
## 126 0.7811772
## 127 -0.4184946
## 128 0.8393059
## 129 0.9540643
## 130 0.9360964
## 131 0.9218206
## 132 0.8894544
## 133 -0.3915650
## 134 0.9365092
## 135 0.9198571
## 136 0.9398097
## 137 0.9237114
## 138 0.8434388
## 139 -0.3592925
## 140 0.9196376
## 141 0.9664423
## 142 0.9597011
## 143 0.9508834
## 144 0.9063695
## 145 -0.4611025
## 146 0.8656861
## 147 0.9297947
## 148 0.9374831
## 149 0.9296275
## 150 0.9276932
## 151 -0.6213097
## 152 0.7829556
## 153 0.9654609
## 154 0.9606478
## 155 0.9467973
## 156 0.9420953
## 157 -0.5304346
## 158 0.8394647
## 159 0.9653515
## 160 0.9447593
## 161 0.9313802
## 162 0.8680003
## 163 -0.4903345
## 164 0.9073313
## 165 0.9485148
## 166 0.9429303
## 167 0.9292917
## 168 0.8545082
## 169 -0.3467898
## 170 0.8915638
## 171 0.9745087
## 172 0.9623744
## 173 0.9484862
## 174 0.9292590
## 175 -0.3447378
## 176 0.8254738
## 177 0.9685567
## 178 0.9652176
## 179 0.9580005
## 180 0.9318298
## TimedomaingravityAcceleration.mean...Y
## 1 0.705549773
## 2 0.204411593
## 3 -0.272983832
## 4 -0.282165021
## 5 -0.266610339
## 6 -0.362153364
## 7 0.752536639
## 8 -0.105630024
## 9 -0.370062697
## 10 -0.346607090
## 11 -0.325780101
## 12 -0.416214890
## 13 0.837032100
## 14 0.127303379
## 15 -0.301735130
## 16 -0.261986358
## 17 -0.228829214
## 18 -0.382851154
## 19 0.915165104
## 20 0.211622540
## 21 -0.075900906
## 22 -0.085854027
## 23 -0.062085277
## 24 -0.232944305
## 25 0.954890346
## 26 0.168445524
## 27 -0.038710127
## 28 -0.100440285
## 29 -0.060757832
## 30 -0.265942569
## 31 0.956593814
## 32 0.068262866
## 33 -0.230251036
## 34 -0.214694852
## 35 -0.214046334
## 36 -0.340732609
## 37 0.393444278
## 38 0.006088466
## 39 -0.117607049
## 40 -0.159097004
## 41 -0.129871673
## 42 -0.240950944
## 43 0.589922435
## 44 0.240095117
## 45 -0.090460349
## 46 -0.217102195
## 47 -0.187610243
## 48 -0.291341492
## 49 -0.119154196
## 50 -0.041425823
## 51 -0.010383816
## 52 -0.031434174
## 53 -0.035230465
## 54 -0.037794782
## 55 -0.139297681
## 56 -0.041260775
## 57 -0.043159783
## 58 -0.083827701
## 59 -0.064616077
## 60 -0.056567028
## 61 0.943017941
## 62 0.213716306
## 63 -0.173082705
## 64 -0.212045870
## 65 -0.200321943
## 66 -0.343576925
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## 68 0.083050901
## 69 -0.218865356
## 70 -0.155983450
## 71 -0.178702175
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## 73 0.656400944
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## 75 -0.239943146
## 76 -0.283658581
## 77 -0.211555113
## 78 -0.357404502
## 79 0.485396927
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## 81 -0.226692231
## 82 -0.270314823
## 83 -0.264254675
## 84 -0.322680365
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## 86 0.210849305
## 87 -0.164713175
## 88 -0.233918283
## 89 -0.167462317
## 90 -0.314961013
## 91 -0.019927023
## 92 -0.086588254
## 93 -0.057886704
## 94 -0.066824647
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## 96 -0.080592603
## 97 0.658792072
## 98 -0.002814673
## 99 -0.257486818
## 100 -0.179927383
## 101 -0.151077058
## 102 -0.284153753
## 103 0.719755404
## 104 0.129886476
## 105 -0.204206321
## 106 -0.254317086
## 107 -0.225809125
## 108 -0.316619946
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## 110 0.360343535
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## 112 -0.223338100
## 113 -0.215018042
## 114 -0.387100709
## 115 0.864882957
## 116 0.073338541
## 117 -0.305938717
## 118 -0.344443913
## 119 -0.277419719
## 120 -0.479894843
## 121 0.599992678
## 122 0.021520671
## 123 -0.346155559
## 124 -0.370984549
## 125 -0.356673290
## 126 -0.432309617
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## 128 0.208553884
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## 130 -0.259644937
## 131 -0.222215179
## 132 -0.336826910
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## 134 0.121751062
## 135 -0.117401360
## 136 -0.161761370
## 137 -0.110028842
## 138 -0.214481808
## 139 0.738430699
## 140 0.182254652
## 141 -0.145201301
## 142 -0.115116242
## 143 -0.128326711
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## 147 -0.159316786
## 148 -0.127315871
## 149 -0.072427018
## 150 -0.217641282
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## 153 -0.140315422
## 154 -0.133922185
## 155 -0.079900373
## 156 -0.246169656
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## 158 0.212947021
## 159 -0.188504847
## 160 -0.187497035
## 161 -0.166938775
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## 164 -0.112596728
## 165 -0.247656167
## 166 -0.229316151
## 167 -0.235897105
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## 169 0.807535373
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## 171 -0.058487154
## 172 -0.127318079
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## 175 0.732661248
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## 177 -0.100296804
## 178 -0.157673824
## 179 -0.126710372
## 180 -0.226647292
## TimedomaingravityAcceleration.mean...Z
## 1 0.445817720
## 2 0.332043703
## 3 0.013490582
## 4 -0.068102864
## 5 -0.062119959
## 6 -0.075402940
## 7 0.646834880
## 8 0.198726769
## 9 0.129747161
## 10 0.084727087
## 11 -0.043889016
## 12 -0.195888239
## 13 0.488703185
## 14 0.139020582
## 15 0.024763107
## 16 -0.138107866
## 17 -0.102352758
## 18 -0.162943955
## 19 0.341531311
## 20 0.110120481
## 21 0.166893826
## 22 0.127764113
## 23 0.148714809
## 24 0.084167538
## 25 0.263644692
## 26 0.143006858
## 27 0.138638437
## 28 0.002476236
## 29 0.021677791
## 30 -0.023203536
## 31 0.175867709
## 32 0.069521966
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## 34 0.033188883
## 35 -0.003079817
## 36 -0.018460896
## 37 0.907537823
## 38 0.064963625
## 39 -0.051657372
## 40 -0.160846924
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## 45 -0.097939202
## 46 -0.186267837
## 47 -0.141817935
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## 49 0.957873042
## 50 0.085263099
## 51 0.009147692
## 52 -0.115856121
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## 69 -0.039538277
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## 74 0.075777386
## 75 -0.052485661
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## 80 -0.094597053
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## 82 -0.422495268
## 83 -0.392555882
## 84 -0.495088720
## 85 -0.036919291
## 86 0.002815660
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## 90 0.081180341
## 91 0.893884469
## 92 0.089268220
## 93 -0.166737468
## 94 -0.217351194
## 95 -0.225382496
## 96 -0.379059698
## 97 0.722657502
## 98 -0.135803882
## 99 -0.202687757
## 100 -0.190265950
## 101 -0.160962986
## 102 -0.298171464
## 103 0.605495318
## 104 0.161877418
## 105 -0.048576711
## 106 -0.060931342
## 107 -0.049363673
## 108 -0.106112549
## 109 0.687623853
## 110 0.489126595
## 111 0.130643718
## 112 -0.089842880
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## 115 0.477573305
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## 117 0.070865529
## 118 -0.035130214
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## 120 -0.130117635
## 121 0.788251027
## 122 -0.056776606
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## 124 -0.220947960
## 125 -0.187870253
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## 131 0.041298796
## 132 -0.095797899
## 133 0.918782825
## 134 0.063011156
## 135 -0.223631181
## 136 -0.160763360
## 137 -0.153671532
## 138 -0.355934450
## 139 0.683839910
## 140 0.109559621
## 141 -0.053058540
## 142 -0.140910030
## 143 -0.140123155
## 144 -0.227134869
## 145 0.526353818
## 146 0.167140956
## 147 0.201182106
## 148 0.188416273
## 149 0.218795958
## 150 0.108230987
## 151 0.614523406
## 152 0.314387627
## 153 0.088414268
## 154 0.108738700
## 155 0.153906320
## 156 -0.001993106
## 157 0.845392380
## 158 0.276417431
## 159 -0.005574169
## 160 -0.126210937
## 161 -0.140047614
## 162 -0.294642640
## 163 0.015757003
## 164 0.135402567
## 165 -0.038583050
## 166 -0.125912861
## 167 -0.121477256
## 168 -0.265207858
## 169 0.590452224
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## 171 0.031614585
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## 173 0.091965045
## 174 0.044378601
## 175 0.681459211
## 176 0.344766020
## 177 0.024304436
## 178 -0.003925564
## 179 0.028808167
## 180 -0.022140110
## TimedomainbodyAccelerationJerk.mean...X
## 1 0.08108653
## 2 0.07748252
## 3 0.07537665
## 4 0.07404163
## 5 0.05415532
## 6 0.10137273
## 7 0.08259725
## 8 0.07225644
## 9 0.07475886
## 10 0.06180807
## 11 0.11004062
## 12 0.07445078
## 13 0.07698111
## 14 0.07260984
## 15 0.07509006
## 16 0.08147459
## 17 0.07256893
## 18 0.04268810
## 19 0.09344942
## 20 0.07845002
## 21 0.07213284
## 22 0.07835291
## 23 0.09718627
## 24 0.05609719
## 25 0.08481648
## 26 0.07495774
## 27 0.07251899
## 28 0.08458888
## 29 0.10965060
## 30 0.07954435
## 31 0.09634820
## 32 0.07547216
## 33 0.07306996
## 34 0.06995859
## 35 0.10368134
## 36 0.07210675
## 37 0.09689040
## 38 0.06685198
## 39 0.07519151
## 40 0.09014626
## 41 0.09689262
## 42 0.07246499
## 43 0.08783269
## 44 0.07867138
## 45 0.07537390
## 46 0.07033935
## 47 0.11893809
## 48 0.08138168
## 49 0.08807345
## 50 0.07700501
## 51 0.07600321
## 52 0.07043573
## 53 0.13019304
## 54 0.06922662
## 55 0.07381506
## 56 0.07753725
## 57 0.08097844
## 58 0.08579438
## 59 0.10095939
## 60 0.06488293
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## 62 0.07617773
## 63 0.07600977
## 64 0.08297093
## 65 0.08971687
## 66 0.09685617
## 67 0.08542954
## 68 0.07712777
## 69 0.07446318
## 70 0.04576440
## 71 0.06215003
## 72 0.07286608
## 73 0.07677748
## 74 0.07528659
## 75 0.07586310
## 76 0.08095902
## 77 0.10170454
## 78 0.06924421
## 79 0.09814038
## 80 0.07418788
## 81 0.07379337
## 82 0.07208779
## 83 0.04286316
## 84 0.08033030
## 85 0.07675154
## 86 0.07847928
## 87 0.07522807
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## 89 0.07114572
## 90 0.07297243
## 91 0.07839603
## 92 0.07343467
## 93 0.07364389
## 94 0.07702238
## 95 0.09078571
## 96 0.07625267
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## 98 0.07507099
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## 100 0.07731886
## 101 0.11825086
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## 105 0.07535395
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## 109 0.07723180
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## 113 0.07309303
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## 125 0.09014529
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## 129 0.07523229
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## 131 0.10158464
## 132 0.08771722
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## 134 0.07700224
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## 136 0.09873191
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## 140 0.07633185
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## 149 0.11065693
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## 151 0.08665025
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## 153 0.07535782
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## 161 0.09362732
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## 175 0.07521967
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## 179 0.08839330
## 180 0.05798404
## TimedomainbodyAccelerationJerk.mean...Y
## 1 3.838204e-03
## 2 -6.191028e-04
## 3 7.975731e-03
## 4 2.827211e-02
## 5 2.965045e-02
## 6 1.948631e-02
## 7 1.225479e-02
## 8 1.169545e-02
## 9 1.032918e-02
## 10 1.824927e-02
## 11 -3.279591e-03
## 12 -9.709855e-03
## 13 1.380410e-02
## 14 2.725291e-03
## 15 7.716636e-03
## 16 1.005915e-02
## 17 1.097078e-02
## 18 3.972493e-02
## 19 6.933132e-03
## 20 -1.085822e-02
## 21 -6.530157e-03
## 22 2.956024e-03
## 23 5.637802e-03
## 24 2.340190e-02
## 25 7.474608e-03
## 26 -2.787733e-03
## 27 -2.219902e-03
## 28 -1.631941e-02
## 29 1.376182e-02
## 30 1.401304e-02
## 31 -1.145292e-03
## 32 2.556498e-06
## 33 8.718840e-03
## 34 -1.648317e-02
## 35 9.876858e-03
## 36 3.713434e-03
## 37 2.506242e-02
## 38 1.168634e-02
## 39 6.947004e-03
## 40 1.843227e-02
## 41 -1.910611e-02
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## 43 2.332992e-02
## 44 -6.575163e-03
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## 46 -6.039475e-03
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## 50 9.817397e-03
## 51 1.306998e-02
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## 53 -2.068660e-02
## 54 1.266122e-03
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## 71 -1.192892e-02
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## 78 -1.280098e-03
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## 82 2.411602e-02
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## 84 -1.831312e-02
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## 95 -1.481145e-02
## 96 1.737293e-02
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## 98 5.609710e-03
## 99 6.578535e-03
## 100 1.300985e-02
## 101 -1.138262e-02
## 102 3.083565e-02
## 103 1.170190e-02
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## 105 1.046987e-02
## 106 2.827455e-02
## 107 -7.570694e-04
## 108 2.116547e-02
## 109 1.114957e-02
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## 111 9.913383e-03
## 112 1.441135e-02
## 113 -3.868721e-02
## 114 5.681859e-02
## 115 1.108225e-03
## 116 5.974303e-03
## 117 1.169302e-02
## 118 -2.106196e-02
## 119 4.364496e-03
## 120 6.599826e-03
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## 122 1.210201e-02
## 123 1.006212e-02
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## 125 -2.139985e-02
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## 141 1.098397e-02
## 142 1.212546e-02
## 143 -4.473163e-03
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## 162 -1.402294e-02
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## 177 1.208604e-02
## 178 2.196565e-02
## 179 -7.561108e-03
## 180 -3.587192e-03
## TimedomainbodyAccelerationJerk.mean...Z
## 1 1.083424e-02
## 2 -3.367792e-03
## 3 -3.685250e-03
## 4 -4.168406e-03
## 5 -1.097197e-02
## 6 -4.556254e-02
## 7 -1.802649e-03
## 8 7.605469e-03
## 9 -8.371588e-03
## 10 7.895337e-03
## 11 -2.093517e-02
## 12 1.948144e-02
## 13 -4.356259e-03
## 14 -4.233484e-03
## 15 -8.071779e-03
## 16 -5.622646e-03
## 17 -2.027280e-03
## 18 2.082055e-02
## 19 -6.410543e-03
## 20 -1.215000e-02
## 21 -2.118899e-02
## 22 -7.676793e-04
## 23 -7.291378e-03
## 24 3.402808e-03
## 25 -3.040672e-03
## 26 3.386096e-03
## 27 -1.228122e-02
## 28 8.321594e-05
## 29 2.133977e-02
## 30 -2.559095e-02
## 31 3.288173e-03
## 32 6.237278e-03
## 33 -4.817122e-03
## 34 -7.389312e-03
## 35 -9.324706e-03
## 36 -2.378166e-03
## 37 -1.316539e-02
## 38 1.620041e-02
## 39 -1.084203e-02
## 40 -2.103986e-02
## 41 -1.603904e-02
## 42 -7.451967e-05
## 43 -1.692188e-02
## 44 -1.068089e-02
## 45 3.221533e-03
## 46 -6.737989e-04
## 47 -3.943562e-02
## 48 -6.745839e-02
## 49 -7.053678e-03
## 50 -8.674673e-03
## 51 -4.700786e-03
## 52 4.147627e-03
## 53 2.625689e-03
## 54 7.660466e-03
## 55 7.166896e-03
## 56 -4.995664e-03
## 57 -4.858410e-03
## 58 -1.629532e-02
## 59 1.526172e-04
## 60 -5.133758e-02
## 61 2.776905e-03
## 62 8.334008e-03
## 63 -7.459162e-04
## 64 -1.336483e-02
## 65 -2.252089e-02
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## 68 -2.045760e-03
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## 71 4.852624e-03
## 72 9.066628e-03
## 73 -9.883897e-03
## 74 -2.323972e-02
## 75 -7.049793e-04
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## 79 -3.236015e-02
## 80 -1.057445e-02
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## 82 1.997230e-02
## 83 1.049526e-02
## 84 3.441995e-03
## 85 -4.439280e-03
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## 89 -1.002129e-02
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## 95 -2.931226e-02
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## 98 -1.554484e-03
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## 100 2.437533e-02
## 101 -9.398381e-03
## 102 7.595338e-03
## 103 -1.213448e-03
## 104 2.787570e-03
## 105 -1.816405e-03
## 106 1.068509e-02
## 107 -1.417699e-02
## 108 9.358966e-03
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## 110 1.731068e-03
## 111 1.292163e-03
## 112 -3.275287e-02
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## 114 3.166820e-02
## 115 -3.098918e-03
## 116 1.601349e-03
## 117 -6.136819e-03
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## 119 -2.534821e-03
## 120 -2.454210e-02
## 121 -1.390534e-02
## 122 -1.753522e-04
## 123 -3.320937e-03
## 124 -1.018134e-02
## 125 -1.255511e-02
## 126 -3.601155e-02
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## 128 -1.268525e-02
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## 130 4.436914e-03
## 131 1.124990e-02
## 132 -3.361697e-02
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## 139 -5.892258e-03
## 140 -1.133002e-03
## 141 -3.587749e-03
## 142 -1.164014e-02
## 143 -8.469159e-03
## 144 -1.323537e-02
## 145 -3.071794e-02
## 146 2.107608e-03
## 147 -6.228088e-03
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## 150 -1.169068e-02
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## 159 -1.379503e-03
## 160 -2.075233e-02
## 161 -9.850348e-03
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## 164 2.578540e-04
## 165 -2.678101e-03
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## 177 1.908415e-03
## 178 -7.395342e-03
## 179 -1.183014e-02
## 180 1.615062e-02
## TimedomainbodyAngularvelocity.mean...X
## 1 -0.0165530940
## 2 -0.0453500565
## 3 -0.0239877348
## 4 -0.0418309635
## 5 -0.0350781903
## 6 0.0505493798
## 7 -0.0184766067
## 8 -0.0454706620
## 9 -0.0238623876
## 10 -0.0530258157
## 11 -0.1159473529
## 12 -0.0576912635
## 13 -0.0208170540
## 14 -0.0385365205
## 15 -0.0246626071
## 16 -0.0256405193
## 17 -0.1315732765
## 18 0.0721980309
## 19 -0.0092315635
## 20 -0.0494435116
## 21 -0.0306449342
## 22 -0.0317982558
## 23 -0.1028388225
## 24 0.0393825199
## 25 -0.0218935014
## 26 -0.0422355210
## 27 -0.0322711903
## 28 -0.0488919897
## 29 -0.0682945699
## 30 0.0395191121
## 31 -0.0079605027
## 32 -0.0372442283
## 33 -0.0282519130
## 34 -0.0255096186
## 35 -0.0960837438
## 36 -0.0767406826
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## 39 -0.0291582213
## 40 0.0022883521
## 41 -0.1054096130
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## 52 -0.0808360599
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## 93 -0.0299337294
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## 176 -0.0358426482
## 177 -0.0276138535
## 178 -0.0459505356
## 179 -0.0745591302
## 180 -0.0035597458
## TimedomainbodyAngularvelocity.mean...Y
## 1 -0.064486124
## 2 -0.091924155
## 3 -0.059397221
## 4 -0.069530046
## 5 -0.090937129
## 6 -0.166170015
## 7 -0.111800825
## 8 -0.059928680
## 9 -0.082039658
## 10 -0.048238232
## 11 -0.004823292
## 12 -0.032088310
## 13 -0.071850716
## 14 -0.075241003
## 15 -0.058510192
## 16 -0.077915094
## 17 -0.013935804
## 18 -0.139275406
## 19 -0.093012818
## 20 -0.089430061
## 21 -0.061824851
## 22 -0.072690528
## 23 -0.070402595
## 24 -0.085947168
## 25 -0.079870960
## 26 -0.083548408
## 27 -0.050987505
## 28 -0.069013525
## 29 -0.070780600
## 30 -0.117195552
## 31 -0.107218315
## 32 -0.089908330
## 33 -0.058982364
## 34 -0.074446247
## 35 -0.034178221
## 36 -0.051898199
## 37 -0.133605695
## 38 -0.033611965
## 39 -0.077433644
## 40 -0.083711372
## 41 -0.049717461
## 42 -0.002471620
## 43 -0.089137414
## 44 -0.095508924
## 45 -0.028011763
## 46 -0.095791791
## 47 -0.050076017
## 48 -0.204205356
## 49 -0.158902920
## 50 -0.041427118
## 51 -0.060810158
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## 79 -0.153423808
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## 84 -0.123499570
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## 94 -0.069595569
## 95 -0.068264793
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## 100 -0.083977334
## 101 -0.123517196
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## 114 -0.134514321
## 115 -0.095489963
## 116 -0.065068935
## 117 -0.069830892
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## 123 -0.073811587
## 124 -0.059029444
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## 126 -0.155622431
## 127 -0.092572312
## 128 -0.079361744
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## 130 -0.096088073
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## 149 -0.101115076
## 150 -0.109437658
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## 160 -0.036534816
## 161 -0.016313159
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## 164 -0.067394385
## 165 -0.073900165
## 166 -0.017282217
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## 172 -0.081960153
## 173 -0.085104589
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## 176 -0.074353558
## 177 -0.067033438
## 178 -0.064917093
## 179 -0.069311241
## 180 -0.077960646
## TimedomainbodyAngularvelocity.mean...Z
## 1 0.1486894363
## 2 0.0629313812
## 3 0.0748007510
## 4 0.0849448173
## 5 0.0900850142
## 6 0.0583595464
## 7 0.1448828461
## 8 0.0412277462
## 9 0.0878351695
## 10 0.0828336633
## 11 0.0971738089
## 12 0.0688374022
## 13 0.1379995611
## 14 0.0940113976
## 15 0.0665262054
## 16 0.0813485943
## 17 0.1238267384
## 18 0.0215603697
## 19 0.1697204041
## 20 0.1011503348
## 21 0.0755636431
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## 23 0.0592639495
## 24 0.0843753843
## 25 0.1598943669
## 26 0.0823934452
## 27 0.0690945764
## 28 0.0815435496
## 29 0.0806559990
## 30 0.0424442819
## 31 0.1791020582
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## 82 0.0513222718
## 83 0.0353344538
## 84 -0.0441381887
## 85 0.1134518998
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## 87 0.0761946739
## 88 0.0842484921
## 89 0.0711758198
## 90 0.0911681485
## 91 0.0966210349
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## 96 -0.0077928802
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## 99 0.0880561869
## 100 0.0757132657
## 101 0.0162878746
## 102 0.0560931358
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## 105 0.0843190676
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## 114 -0.0002332482
## 115 0.1236802099
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## 122 0.0831326043
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## 125 0.1486100210
## 126 -0.0054682976
## 127 0.1450038793
## 128 0.0804426775
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## 132 0.0157359245
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## 136 0.1077004507
## 137 0.0953602497
## 138 -0.0325557522
## 139 0.1117307463
## 140 0.0800440231
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## 175 0.0938472163
## 176 0.0702002598
## 177 0.0802514754
## 178 0.0839568239
## 179 0.0895767797
## 180 0.0814699303
## TimedomainbodyAngularvelocityJerk.mean...X
## 1 -0.10727095
## 2 -0.09367938
## 3 -0.09960921
## 4 -0.08999754
## 5 -0.07395920
## 6 -0.12223277
## 7 -0.10197413
## 8 -0.09363284
## 9 -0.10556216
## 10 -0.08188334
## 11 -0.05810385
## 12 -0.08288580
## 13 -0.10004450
## 14 -0.10360589
## 15 -0.09946026
## 16 -0.09523982
## 17 -0.07787017
## 18 -0.11551057
## 19 -0.10501988
## 20 -0.09694948
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## 25 -0.10211413
## 26 -0.08897477
## 27 -0.09222499
## 28 -0.08884084
## 29 -0.11014901
## 30 -0.14302969
## 31 -0.11126728
## 32 -0.09366935
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## 101 -0.10777003
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## 136 -0.05781282
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## 139 -0.10281381
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## 144 -0.14680085
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## 150 -0.12648116
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## 152 -0.09598482
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## 155 -0.09924653
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## 158 -0.09516358
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## 160 -0.07861635
## 161 -0.05158148
## 162 -0.09375187
## 163 -0.10451163
## 164 -0.09539351
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## 166 -0.09297467
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## 171 -0.09887015
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## 173 -0.07439865
## 174 -0.13042907
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## 176 -0.09527077
## 177 -0.09971602
## 178 -0.08738399
## 179 -0.06159546
## 180 -0.10841426
## TimedomainbodyAngularvelocityJerk.mean...Y
## 1 -0.04151729
## 2 -0.04021181
## 3 -0.04406279
## 4 -0.03984287
## 5 -0.04399028
## 6 -0.04214859
## 7 -0.03585902
## 8 -0.04156020
## 9 -0.04224195
## 10 -0.05382994
## 11 -0.04214703
## 12 -0.04240537
## 13 -0.03897718
## 14 -0.03609099
## 15 -0.04724158
## 16 -0.03878747
## 17 -0.03915679
## 18 -0.04003725
## 19 -0.03812304
## 20 -0.04184839
## 21 -0.04612572
## 22 -0.03934745
## 23 -0.03484349
## 24 -0.03905088
## 25 -0.04044469
## 26 -0.04547030
## 27 -0.03991082
## 28 -0.04495595
## 29 -0.07082966
## 30 -0.05598958
## 31 -0.04241043
## 32 -0.03339867
## 33 -0.04288283
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## 35 -0.07680899
## 36 -0.04577054
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## 44 -0.04026738
## 45 -0.04851907
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## 51 -0.04191996
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## 53 -0.05976083
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## 65 -0.05202730
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## 74 -0.04103669
## 75 -0.04128726
## 76 -0.03198493
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## 79 -0.03726774
## 80 -0.04345773
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## 82 -0.04389695
## 83 -0.07405898
## 84 -0.02077497
## 85 -0.04158790
## 86 -0.03960688
## 87 -0.04385075
## 88 -0.05525366
## 89 -0.04954155
## 90 -0.03654192
## 91 -0.03477353
## 92 -0.04503693
## 93 -0.04249822
## 94 -0.04338768
## 95 -0.05676866
## 96 -0.02962113
## 97 -0.03619611
## 98 -0.04111342
## 99 -0.04045188
## 100 -0.03792513
## 101 -0.03817024
## 102 -0.04144963
## 103 -0.03934402
## 104 -0.03971256
## 105 -0.04065734
## 106 -0.04337711
## 107 -0.05091203
## 108 -0.05274726
## 109 -0.03714766
## 110 -0.04251702
## 111 -0.04229185
## 112 -0.03071284
## 113 -0.03946126
## 114 -0.03462885
## 115 -0.03877630
## 116 -0.04072992
## 117 -0.04321524
## 118 -0.05141758
## 119 -0.05773715
## 120 -0.01898163
## 121 -0.03462751
## 122 -0.03914834
## 123 -0.04043008
## 124 -0.05156503
## 125 -0.07359522
## 126 -0.01320228
## 127 -0.03760873
## 128 -0.04234098
## 129 -0.04209987
## 130 -0.03219107
## 131 -0.03551714
## 132 -0.03813126
## 133 -0.03724498
## 134 -0.04346026
## 135 -0.04167742
## 136 -0.05167048
## 137 -0.03528916
## 138 -0.05239438
## 139 -0.03823237
## 140 -0.04061694
## 141 -0.04317386
## 142 -0.05028950
## 143 -0.02917663
## 144 -0.03173506
## 145 -0.04267189
## 146 -0.03916514
## 147 -0.04182946
## 148 -0.03989865
## 149 -0.04152033
## 150 -0.02814530
## 151 -0.03966827
## 152 -0.04030702
## 153 -0.04090120
## 154 -0.04565383
## 155 -0.03726811
## 156 -0.03862441
## 157 -0.03621862
## 158 -0.03964108
## 159 -0.04174718
## 160 -0.04769744
## 161 -0.06420236
## 162 -0.05092352
## 163 -0.03560100
## 164 -0.04080078
## 165 -0.04313647
## 166 -0.05153944
## 167 -0.05704109
## 168 -0.04925521
## 169 -0.03867683
## 170 -0.04000184
## 171 -0.04051106
## 172 -0.04798981
## 173 -0.06714823
## 174 -0.05110351
## 175 -0.03848759
## 176 -0.04079306
## 177 -0.04377597
## 178 -0.06170289
## 179 -0.04968076
## 180 -0.01411134
## TimedomainbodyAngularvelocityJerk.mean...Z
## 1 -0.074050121
## 2 -0.046702627
## 3 -0.048950547
## 4 -0.046130930
## 5 -0.027046106
## 6 -0.040712553
## 7 -0.070178302
## 8 -0.043585097
## 9 -0.054653948
## 10 -0.051493916
## 11 -0.071022982
## 12 -0.044515748
## 13 -0.068733870
## 14 -0.059007997
## 15 -0.041683216
## 16 -0.050361610
## 17 -0.041619313
## 18 -0.049818087
## 19 -0.071215629
## 20 -0.048996435
## 21 -0.049075350
## 22 -0.055116685
## 23 -0.049283644
## 24 -0.072249626
## 25 -0.070830969
## 26 -0.048771473
## 27 -0.042222134
## 28 -0.048267960
## 29 -0.039965694
## 30 -0.053489540
## 31 -0.071777474
## 32 -0.046550431
## 33 -0.050643219
## 34 -0.053959728
## 35 -0.037222865
## 36 -0.057680005
## 37 -0.067190179
## 38 -0.045456627
## 39 -0.054539002
## 40 -0.049571309
## 41 -0.078946934
## 42 -0.072451748
## 43 -0.069412315
## 44 -0.044573224
## 45 -0.047848323
## 46 -0.052268397
## 47 -0.086790330
## 48 -0.053409038
## 49 -0.056949048
## 50 -0.052841490
## 51 -0.057574313
## 52 -0.063340662
## 53 -0.067808060
## 54 -0.023632791
## 55 -0.059074491
## 56 -0.048941192
## 57 -0.058416255
## 58 -0.061126293
## 59 -0.072041311
## 60 -0.036502174
## 61 -0.066695749
## 62 -0.050539546
## 63 -0.052473275
## 64 -0.034267745
## 65 -0.037304841
## 66 -0.046076150
## 67 -0.067890900
## 68 -0.051563409
## 69 -0.048286374
## 70 -0.046733815
## 71 -0.065323998
## 72 -0.065316729
## 73 -0.064877042
## 74 -0.046612160
## 75 -0.053926078
## 76 -0.063669323
## 77 -0.051202048
## 78 -0.066165392
## 79 -0.056617187
## 80 -0.052012161
## 81 -0.050903618
## 82 -0.038882592
## 83 -0.061597880
## 84 -0.013723762
## 85 -0.062433456
## 86 -0.052414834
## 87 -0.052278397
## 88 -0.051097649
## 89 -0.033921306
## 90 -0.076724250
## 91 -0.057679044
## 92 -0.058837127
## 93 -0.054433529
## 94 -0.053298667
## 95 -0.061213693
## 96 -0.035416300
## 97 -0.060492705
## 98 -0.051090324
## 99 -0.054633133
## 100 -0.051380717
## 101 -0.058251885
## 102 -0.022348209
## 103 -0.059313599
## 104 -0.052303040
## 105 -0.053238445
## 106 -0.050263157
## 107 -0.057059181
## 108 -0.069253621
## 109 -0.059916148
## 110 -0.059080168
## 111 -0.052376987
## 112 -0.060309196
## 113 -0.054556556
## 114 -0.053354588
## 115 -0.061002829
## 116 -0.046583515
## 117 -0.051815225
## 118 -0.054927371
## 119 -0.061531283
## 120 -0.051898545
## 121 -0.060139866
## 122 -0.052640988
## 123 -0.053821174
## 124 -0.062119210
## 125 -0.078843647
## 126 -0.006940664
## 127 -0.070272357
## 128 -0.051719399
## 129 -0.051317925
## 130 -0.056981246
## 131 -0.048146016
## 132 -0.067457055
## 133 -0.062199163
## 134 -0.048556109
## 135 -0.054822628
## 136 -0.090300252
## 137 -0.029325502
## 138 -0.092499853
## 139 -0.062411697
## 140 -0.051596655
## 141 -0.051718038
## 142 -0.073983552
## 143 -0.041205541
## 144 -0.049842723
## 145 -0.059692215
## 146 -0.049559564
## 147 -0.055697906
## 148 -0.051269622
## 149 -0.064207812
## 150 -0.054045222
## 151 -0.071153336
## 152 -0.048762720
## 153 -0.053254195
## 154 -0.049224055
## 155 -0.051058741
## 156 -0.059555839
## 157 -0.064279785
## 158 -0.050388356
## 159 -0.051403919
## 160 -0.065024755
## 161 -0.062104370
## 162 -0.062901372
## 163 -0.053450191
## 164 -0.057901536
## 165 -0.052589625
## 166 -0.059355248
## 167 -0.077617393
## 168 -0.075261044
## 169 -0.067446967
## 170 -0.047000898
## 171 -0.054492631
## 172 -0.039236899
## 173 -0.035964843
## 174 -0.068093878
## 175 -0.059573677
## 176 -0.048820460
## 177 -0.052030718
## 178 -0.044600723
## 179 -0.054359523
## 180 -0.036415784
## TimedomainbodyAccelerationMagnitudesignals.mean..
## 1 -0.8419291525
## 2 -0.9485367862
## 3 -0.9842782074
## 4 -0.1369711766
## 5 0.0271882914
## 6 -0.1299276307
## 7 -0.9774354852
## 8 -0.9678936239
## 9 -0.9658751813
## 10 -0.2904075937
## 11 0.0899511205
## 12 -0.1073226795
## 13 -0.9727913461
## 14 -0.8953833502
## 15 -0.9254308190
## 16 -0.2546903333
## 17 -0.0628126118
## 18 -0.1840148950
## 19 -0.9545576031
## 20 -0.9356948200
## 21 -0.9064780518
## 22 -0.3120505742
## 23 -0.0491616727
## 24 -0.1537039354
## 25 -0.9667778829
## 26 -0.9379783225
## 27 -0.9061047011
## 28 -0.1583386744
## 29 0.2111388536
## 30 0.0435562022
## 31 -0.9188788508
## 32 -0.9495435313
## 33 -0.9450228765
## 34 -0.1668407136
## 35 0.3337547315
## 36 0.0177790974
## 37 -0.9363920238
## 38 -0.9184321071
## 39 -0.9427246592
## 40 -0.0978090439
## 41 0.0198795286
## 42 -0.1980744380
## 43 -0.9353086339
## 44 -0.9521397043
## 45 -0.9537628841
## 46 0.0516786278
## 47 0.1765993118
## 48 0.1210266292
## 49 -0.9308684376
## 50 -0.8933617176
## 51 -0.9451674824
## 52 -0.0980840496
## 53 0.1458863579
## 54 -0.2607275814
## 55 -0.9567818197
## 56 -0.9607571996
## 57 -0.9519889080
## 58 -0.1274009121
## 59 0.2508437694
## 60 -0.0266623295
## 61 -0.9806211802
## 62 -0.9619707638
## 63 -0.9848538366
## 64 -0.2883234720
## 65 0.1262276573
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## 69 -0.9414599351
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## 72 -0.2291839271
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## 75 -0.9715642432
## 76 -0.1356438678
## 77 -0.0294634300
## 78 -0.1011535017
## 79 -0.9059782502
## 80 -0.9441979437
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## 82 -0.1444046718
## 83 0.1855377069
## 84 0.1401082041
## 85 -0.9553406615
## 86 -0.9586698363
## 87 -0.9612076162
## 88 -0.1865146508
## 89 0.3204493872
## 90 -0.0009713947
## 91 -0.9618346349
## 92 -0.9618796807
## 93 -0.9699488251
## 94 -0.2587666941
## 95 0.1910797936
## 96 -0.2339903316
## 97 -0.9530214111
## 98 -0.9727473464
## 99 -0.9776359814
## 100 -0.1511514877
## 101 0.1489511035
## 102 -0.0128062277
## 103 -0.9864562415
## 104 -0.9836741518
## 105 -0.9726074953
## 106 -0.2879080780
## 107 -0.2935319736
## 108 -0.2791463128
## 109 -0.9662608069
## 110 -0.9620740656
## 111 -0.9605056836
## 112 0.0648173439
## 113 0.6446043251
## 114 0.0173811935
## 115 -0.9607431262
## 116 -0.9527380430
## 117 -0.9224068574
## 118 0.0394022806
## 119 0.2218515879
## 120 0.0087250246
## 121 -0.9525965832
## 122 -0.9747349994
## 123 -0.9587742981
## 124 -0.1234556615
## 125 0.2457716990
## 126 -0.0810453188
## 127 -0.9349937993
## 128 -0.9421673539
## 129 -0.9548076613
## 130 0.0722419122
## 131 0.3309992219
## 132 0.2102826083
## 133 -0.9629591968
## 134 -0.9440807729
## 135 -0.9572122671
## 136 -0.0988770198
## 137 0.1272111377
## 138 -0.0117536874
## 139 -0.9718540425
## 140 -0.9689791565
## 141 -0.9500610177
## 142 -0.2999836140
## 143 -0.0737699163
## 144 -0.2264028220
## 145 -0.5604777761
## 146 -0.9704093371
## 147 -0.9726635922
## 148 -0.4052894300
## 149 -0.2201085946
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## 151 -0.9767850424
## 152 -0.9530799941
## 153 -0.9685116943
## 154 -0.2233991718
## 155 0.1143793837
## 156 -0.1428744994
## 157 -0.9820916522
## 158 -0.9794816689
## 159 -0.9727532874
## 160 -0.2388538753
## 161 0.1080713829
## 162 -0.1605893560
## 163 -0.9581122303
## 164 -0.9557897086
## 165 -0.9254716516
## 166 -0.1806660203
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## 168 -0.1862405040
## 169 -0.9864931967
## 170 -0.9780170218
## 171 -0.9847453189
## 172 -0.0955213394
## 173 0.1037051657
## 174 0.0083436027
## 175 -0.9698299843
## 176 -0.9574872215
## 177 -0.9305735749
## 178 -0.1951400330
## 179 -0.0373901122
## 180 -0.1376278572
## TimedomaingravityAccelerationMagnitudesignals.mean..
## 1 -0.8419291525
## 2 -0.9485367862
## 3 -0.9842782074
## 4 -0.1369711766
## 5 0.0271882914
## 6 -0.1299276307
## 7 -0.9774354852
## 8 -0.9678936239
## 9 -0.9658751813
## 10 -0.2904075937
## 11 0.0899511205
## 12 -0.1073226795
## 13 -0.9727913461
## 14 -0.8953833502
## 15 -0.9254308190
## 16 -0.2546903333
## 17 -0.0628126118
## 18 -0.1840148950
## 19 -0.9545576031
## 20 -0.9356948200
## 21 -0.9064780518
## 22 -0.3120505742
## 23 -0.0491616727
## 24 -0.1537039354
## 25 -0.9667778829
## 26 -0.9379783225
## 27 -0.9061047011
## 28 -0.1583386744
## 29 0.2111388536
## 30 0.0435562022
## 31 -0.9188788508
## 32 -0.9495435313
## 33 -0.9450228765
## 34 -0.1668407136
## 35 0.3337547315
## 36 0.0177790974
## 37 -0.9363920238
## 38 -0.9184321071
## 39 -0.9427246592
## 40 -0.0978090439
## 41 0.0198795286
## 42 -0.1980744380
## 43 -0.9353086339
## 44 -0.9521397043
## 45 -0.9537628841
## 46 0.0516786278
## 47 0.1765993118
## 48 0.1210266292
## 49 -0.9308684376
## 50 -0.8933617176
## 51 -0.9451674824
## 52 -0.0980840496
## 53 0.1458863579
## 54 -0.2607275814
## 55 -0.9567818197
## 56 -0.9607571996
## 57 -0.9519889080
## 58 -0.1274009121
## 59 0.2508437694
## 60 -0.0266623295
## 61 -0.9806211802
## 62 -0.9619707638
## 63 -0.9848538366
## 64 -0.2883234720
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## 69 -0.9414599351
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## 72 -0.2291839271
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## 75 -0.9715642432
## 76 -0.1356438678
## 77 -0.0294634300
## 78 -0.1011535017
## 79 -0.9059782502
## 80 -0.9441979437
## 81 -0.9434568473
## 82 -0.1444046718
## 83 0.1855377069
## 84 0.1401082041
## 85 -0.9553406615
## 86 -0.9586698363
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## 88 -0.1865146508
## 89 0.3204493872
## 90 -0.0009713947
## 91 -0.9618346349
## 92 -0.9618796807
## 93 -0.9699488251
## 94 -0.2587666941
## 95 0.1910797936
## 96 -0.2339903316
## 97 -0.9530214111
## 98 -0.9727473464
## 99 -0.9776359814
## 100 -0.1511514877
## 101 0.1489511035
## 102 -0.0128062277
## 103 -0.9864562415
## 104 -0.9836741518
## 105 -0.9726074953
## 106 -0.2879080780
## 107 -0.2935319736
## 108 -0.2791463128
## 109 -0.9662608069
## 110 -0.9620740656
## 111 -0.9605056836
## 112 0.0648173439
## 113 0.6446043251
## 114 0.0173811935
## 115 -0.9607431262
## 116 -0.9527380430
## 117 -0.9224068574
## 118 0.0394022806
## 119 0.2218515879
## 120 0.0087250246
## 121 -0.9525965832
## 122 -0.9747349994
## 123 -0.9587742981
## 124 -0.1234556615
## 125 0.2457716990
## 126 -0.0810453188
## 127 -0.9349937993
## 128 -0.9421673539
## 129 -0.9548076613
## 130 0.0722419122
## 131 0.3309992219
## 132 0.2102826083
## 133 -0.9629591968
## 134 -0.9440807729
## 135 -0.9572122671
## 136 -0.0988770198
## 137 0.1272111377
## 138 -0.0117536874
## 139 -0.9718540425
## 140 -0.9689791565
## 141 -0.9500610177
## 142 -0.2999836140
## 143 -0.0737699163
## 144 -0.2264028220
## 145 -0.5604777761
## 146 -0.9704093371
## 147 -0.9726635922
## 148 -0.4052894300
## 149 -0.2201085946
## 150 -0.3057721991
## 151 -0.9767850424
## 152 -0.9530799941
## 153 -0.9685116943
## 154 -0.2233991718
## 155 0.1143793837
## 156 -0.1428744994
## 157 -0.9820916522
## 158 -0.9794816689
## 159 -0.9727532874
## 160 -0.2388538753
## 161 0.1080713829
## 162 -0.1605893560
## 163 -0.9581122303
## 164 -0.9557897086
## 165 -0.9254716516
## 166 -0.1806660203
## 167 0.1043592166
## 168 -0.1862405040
## 169 -0.9864931967
## 170 -0.9780170218
## 171 -0.9847453189
## 172 -0.0955213394
## 173 0.1037051657
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## 175 -0.9698299843
## 176 -0.9574872215
## 177 -0.9305735749
## 178 -0.1951400330
## 179 -0.0373901122
## 180 -0.1376278572
## TimedomainbodyAccelerationJerkMagnitudesignals.mean..
## 1 -0.954396265
## 2 -0.987364196
## 3 -0.992367791
## 4 -0.141428809
## 5 -0.089447481
## 6 -0.466503446
## 7 -0.987741696
## 8 -0.986774713
## 9 -0.980489077
## 10 -0.281424154
## 11 0.005655163
## 12 -0.321268911
## 13 -0.979484593
## 14 -0.969080753
## 15 -0.959303840
## 16 -0.280009317
## 17 -0.205239247
## 18 -0.436901159
## 19 -0.970095772
## 20 -0.970132284
## 21 -0.963370738
## 22 -0.366700880
## 23 -0.228851414
## 24 -0.400922255
## 25 -0.980141254
## 26 -0.969320156
## 27 -0.956863566
## 28 -0.288333024
## 29 -0.063752856
## 30 -0.247403477
## 31 -0.954750505
## 32 -0.962733502
## 33 -0.967102436
## 34 -0.195117026
## 35 0.103845072
## 36 -0.207379799
## 37 -0.980127240
## 38 -0.976559676
## 39 -0.973381306
## 40 -0.192948900
## 41 -0.170319619
## 42 -0.458695232
## 43 -0.973147490
## 44 -0.986061512
## 45 -0.984920798
## 46 -0.066832243
## 47 0.262628490
## 48 -0.141494613
## 49 -0.963374549
## 50 -0.964383757
## 51 -0.969524579
## 52 -0.203733616
## 53 -0.162376089
## 54 -0.440667540
## 55 -0.976234435
## 56 -0.988054238
## 57 -0.965163818
## 58 -0.132624992
## 59 0.050701023
## 60 -0.262038042
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## 62 -0.979355635
## 63 -0.989242377
## 64 -0.402333202
## 65 -0.198206140
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## 72 -0.432469301
## 73 -0.985467854
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## 75 -0.986800028
## 76 -0.133205035
## 77 -0.127926052
## 78 -0.456190454
## 79 -0.972576393
## 80 -0.976521006
## 81 -0.972965788
## 82 -0.377293155
## 83 0.035360138
## 84 -0.283663836
## 85 -0.979890228
## 86 -0.986107839
## 87 -0.981495126
## 88 -0.320129323
## 89 -0.037266607
## 90 -0.316050382
## 91 -0.988349657
## 92 -0.987472699
## 93 -0.989205232
## 94 -0.363144484
## 95 -0.165908811
## 96 -0.483219050
## 97 -0.981607628
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## 104 -0.989869575
## 105 -0.985965294
## 106 -0.379269262
## 107 -0.466516044
## 108 -0.601463948
## 109 -0.984784340
## 110 -0.986423976
## 111 -0.983068924
## 112 0.109450990
## 113 0.434490401
## 114 -0.114189606
## 115 -0.984670074
## 116 -0.978774578
## 117 -0.956624899
## 118 -0.042935930
## 119 -0.061269984
## 120 -0.255611242
## 121 -0.982800331
## 122 -0.985947225
## 123 -0.974765162
## 124 -0.148138992
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## 176 -0.987799056
## 177 -0.971225190
## 178 -0.352111714
## 179 -0.293738802
## 180 -0.596600100
## TimedomainbodyAngularvelocityMagnitudesignals.mean..
## 1 -0.874759548
## 2 -0.930892490
## 3 -0.976493793
## 4 -0.160979553
## 5 -0.075741254
## 6 -0.126735590
## 7 -0.950011570
## 8 -0.946035087
## 9 -0.963466342
## 10 -0.446549093
## 11 -0.162188587
## 12 -0.219713473
## 13 -0.951564751
## 14 -0.919354372
## 15 -0.892089349
## 16 -0.466411754
## 17 -0.215294501
## 18 -0.347321812
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## 20 -0.926063314
## 21 -0.900982101
## 22 -0.497792201
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## 24 -0.299779408
## 25 -0.946938301
## 26 -0.934301647
## 27 -0.900671631
## 28 -0.355933084
## 29 -0.218029835
## 30 -0.235516929
## 31 -0.908980175
## 32 -0.932703812
## 33 -0.939404744
## 34 -0.281207841
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## 123 -0.949837152
## 124 -0.284775645
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## 177 -0.913890565
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## 179 -0.095537321
## 180 -0.113608367
## TimedomainbodyAngularvelocityJerkMagnitudesignals.mean..
## 1 -0.96346103
## 2 -0.99197634
## 3 -0.99496679
## 4 -0.29870368
## 5 -0.29546384
## 6 -0.59488287
## 7 -0.99176707
## 8 -0.99108149
## 9 -0.98395190
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## 11 -0.41087267
## 12 -0.57281644
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## 14 -0.97799805
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## 16 -0.56613522
## 17 -0.50856758
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## 20 -0.98049046
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## domainbodyfrequencyAcceleration.mean...X
## 1 -0.93909905
## 2 -0.97964124
## 3 -0.99524993
## 4 -0.20279431
## 5 0.03822918
## 6 -0.40432178
## 7 -0.97672506
## 8 -0.98580384
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## domainbodyfrequencyAcceleration.mean...Y
## 1 -0.867065205
## 2 -0.944084550
## 3 -0.977070848
## 4 0.089712726
## 5 0.001549908
## 6 -0.190976721
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## 8 -0.957343498
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## 167 0.186441734
## 168 -0.190589069
## 169 -0.989034304
## 170 -0.969609502
## 171 -0.973345770
## 172 -0.034964233
## 173 -0.021229372
## 174 -0.196011504
## 175 -0.959974275
## 176 -0.954076042
## 177 -0.919475121
## 178 -0.193856664
## 179 -0.021663705
## 180 -0.297813769
## domainbodyfrequencyAcceleration.mean...Z
## 1 -0.88266688
## 2 -0.95918489
## 3 -0.98529710
## 4 -0.33156012
## 5 -0.22557447
## 6 -0.43334970
## 7 -0.98438098
## 8 -0.97016217
## 9 -0.96247120
## 10 -0.45380637
## 11 -0.13129077
## 12 -0.28100199
## 13 -0.96833214
## 14 -0.91798793
## 15 -0.93950774
## 16 -0.41237407
## 17 -0.40445241
## 18 -0.50449453
## 19 -0.96750428
## 20 -0.95178374
## 21 -0.93164342
## 22 -0.63100547
## 23 -0.49468345
## 24 -0.52465572
## 25 -0.97700772
## 26 -0.94606422
## 27 -0.91508380
## 28 -0.49025109
## 29 -0.37474009
## 30 -0.45747068
## 31 -0.93804491
## 32 -0.93579812
## 33 -0.94286402
## 34 -0.49852016
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## 36 -0.42724810
## 37 -0.95861164
## 38 -0.90467534
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## 40 0.03858323
## 41 -0.13921622
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## 43 -0.94426951
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## 45 -0.95036294
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## 47 0.15958976
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## 53 -0.10370582
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## 112 -0.10442336
## 113 0.11065922
## 114 -0.21964447
## 115 -0.97639265
## 116 -0.94759746
## 117 -0.92998582
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## 123 -0.96027414
## 124 -0.30030907
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## 133 -0.97751521
## 134 -0.94203117
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## 136 0.08140811
## 137 0.28051888
## 138 -0.07057749
## 139 -0.97663482
## 140 -0.96699178
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## 142 -0.34449301
## 143 -0.17382508
## 144 -0.31279221
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## 146 -0.97477613
## 147 -0.97405123
## 148 -0.53356322
## 149 -0.55609709
## 150 -0.54293183
## 151 -0.98492312
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## 155 -0.27964006
## 156 -0.49950276
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## 158 -0.97466582
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## 160 -0.31237260
## 161 -0.24160036
## 162 -0.41888640
## 163 -0.96111567
## 164 -0.95222679
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## 167 -0.30816163
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## 169 -0.98947393
## 170 -0.97562303
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## 179 -0.25806737
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## domainbodyfrequencyAcceleration.meanFreq...X
## 1 -1.587927e-01
## 2 -4.951360e-02
## 3 8.651536e-02
## 4 -2.075484e-01
## 5 -3.073952e-01
## 6 -4.187350e-01
## 7 -1.464828e-01
## 8 8.519282e-02
## 9 1.085192e-01
## 10 -1.457955e-01
## 11 -2.737116e-01
## 12 -2.817480e-01
## 13 -7.395264e-02
## 14 3.129894e-02
## 15 -8.702483e-02
## 16 -2.466142e-01
## 17 -3.258637e-01
## 18 -4.612497e-01
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## 20 3.738176e-02
## 21 6.210000e-02
## 22 -1.385916e-01
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## 24 -4.868117e-01
## 25 -1.356325e-01
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## 27 -1.640668e-02
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## 31 -2.197299e-01
## 32 3.046954e-03
## 33 6.645218e-02
## 34 -1.968417e-01
## 35 -4.116493e-01
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## 40 -3.137274e-01
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## 102 -5.292345e-01
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## 104 5.123633e-02
## 105 1.566958e-02
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## 110 -3.152881e-01
## 111 4.241640e-02
## 112 -1.764475e-01
## 113 -3.231372e-01
## 114 -3.441017e-01
## 115 -2.130343e-01
## 116 -6.188904e-02
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## 142 -3.120463e-01
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## 160 -3.016603e-01
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## 164 -1.554813e-02
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## domainbodyfrequencyAcceleration.meanFreq...Y
## 1 0.0975348416
## 2 0.0759460769
## 3 0.1174789487
## 4 0.1130936461
## 5 0.0632200839
## 6 -0.1606972135
## 7 0.2572894655
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## 17 0.0529065241
## 18 -0.1000191622
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## 20 0.0787860093
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## 22 0.0123477343
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## 27 -0.0089441319
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## 125 -0.1469487312
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## domainbodyfrequencyAcceleration.meanFreq...Z
## 1 0.0894376552
## 2 0.2388298701
## 3 0.2448585858
## 4 0.0497265196
## 5 0.2943227008
## 6 -0.5201147936
## 7 0.4025325534
## 8 0.0960646760
## 9 0.1044624996
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## 14 0.0478619586
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## 17 -0.0566003045
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## 20 0.0120942660
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## domainbodyfrequencyAccelerationJerk.mean...X
## 1 -0.957073884
## 2 -0.986597023
## 3 -0.994630797
## 4 -0.170546965
## 5 -0.027663868
## 6 -0.479875246
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## domainbodyfrequencyAccelerationJerk.mean...Y
## 1 -0.922462610
## 2 -0.981579467
## 3 -0.985418705
## 4 -0.035225524
## 5 -0.128667158
## 6 -0.413444588
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## 179 -0.224992780
## 180 -0.592919441
## domainbodyfrequencyAccelerationJerk.mean...Z
## 1 -0.94806090
## 2 -0.98605309
## 3 -0.99075217
## 4 -0.46899922
## 5 -0.28833474
## 6 -0.68547435
## 7 -0.98619713
## 8 -0.98512905
## 9 -0.97977515
## 10 -0.55495671
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## 12 -0.52272806
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## domainbodyfrequencyAccelerationJerk.meanFreq...X
## 1 0.13241909
## 2 0.25661082
## 3 0.31418294
## 4 -0.20926197
## 5 -0.25316434
## 6 -0.37702313
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## domainbodyfrequencyAccelerationJerk.meanFreq...Y
## 1 2.451362e-02
## 2 4.754378e-02
## 3 3.916190e-02
## 4 -3.862371e-01
## 5 -3.375897e-01
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## 2 0.092392003
## 3 0.138581479
## 4 -0.185530281
## 5 0.009372239
## 6 -0.551104284
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## 3 -0.98638679
## 4 -0.33903220
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## domainbodyfrequencyAngularvelocity.mean...Y
## 1 -0.95219149
## 2 -0.97583859
## 3 -0.98898446
## 4 -0.10305942
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## domainbodyfrequencyAngularvelocity.mean...Z
## 1 -0.90930272
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## 3 -0.98077312
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## 3 -0.120293021
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## domainbodyfrequencyAngularvelocity.meanFreq...Y
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## 2 0.063127067
## 3 -0.044719198
## 4 -0.065774619
## 5 0.082551149
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## domainbodyfrequencyAngularvelocity.meanFreq...Z
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## 3 0.1006076351
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## domainbodyfrequencyAccelerationMagnitudesignals.meanFreq..
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## domainbodyfrequencyBodyAccelerationJerkMagnitudesignals.mean..
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## 3 -0.9925424775
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## domainbodyfrequencyBodyAccelerationJerkMagnitudesignals.meanFreq..
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## domainbodyfrequencyBodyAngularvelocityMagnitudesignals.mean..
## 1 -0.8621901854
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## 180 -0.4491507351
## domainbodyfrequencyBodyAngularvelocityMagnitudesignals.meanFreq..
## 1 -0.1397750127
## 2 -0.0002621867
## 3 -0.0286057725
## 4 0.2688443675
## 5 0.3496138955
## 6 -0.2193033761
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## 8 -0.1063589092
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## 105 -0.2125596908
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## 107 -0.1592210759
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## 110 -0.1924516208
## 111 -0.2470236169
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## 115 0.0116918216
## 116 -0.1749801350
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## 118 0.2066991128
## 119 -0.0374111876
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## 121 -0.2065727018
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## 126 -0.0184299309
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## 128 -0.1710711897
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## 130 0.2102823225
## 131 -0.0581080717
## 132 -0.2248916036
## 133 0.1024532712
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## 135 -0.1219996200
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## 139 0.0544279336
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## 141 -0.2215368774
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## 144 -0.0612402085
## 145 -0.3348495649
## 146 -0.0911441490
## 147 -0.1693834823
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## 150 -0.4145319925
## 151 0.1117405791
## 152 -0.1856660851
## 153 -0.1446050139
## 154 0.2208116679
## 155 0.0059910814
## 156 -0.0255131300
## 157 0.1743116544
## 158 -0.0230774093
## 159 -0.1657139121
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## 161 0.0988527909
## 162 -0.1281161243
## 163 -0.1811359308
## 164 -0.1377060777
## 165 -0.3173839106
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## 168 -0.0526395586
## 169 0.2337600962
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## 175 -0.0802049169
## 176 -0.1466085176
## 177 -0.3183090782
## 178 -0.0688871601
## 179 -0.1759313488
## 180 -0.4566386709
## domainbodyfrequencyBodyAngularvelocityJerkMagnitudesignals.mean..
## 1 -0.94236695
## 2 -0.98979755
## 3 -0.99481538
## 4 -0.31930859
## 5 -0.28196336
## 6 -0.63466508
## 7 -0.99024870
## 8 -0.98986195
## 9 -0.97784983
## 10 -0.58324929
## 11 -0.38017531
## 12 -0.60079850
## 13 -0.98427825
## 14 -0.97789811
## 15 -0.96033172
## 16 -0.60775165
## 17 -0.57627720
## 18 -0.71687778
## 19 -0.98360907
## 20 -0.97654776
## 21 -0.96447114
## 22 -0.72432742
## 23 -0.62175246
## 24 -0.74074923
## 25 -0.98461803
## 26 -0.97159837
## 27 -0.95228644
## 28 -0.54805357
## 29 -0.45369725
## 30 -0.57134414
## 31 -0.95369596
## 32 -0.95203457
## 33 -0.95542514
## 34 -0.36650053
## 35 -0.13270538
## 36 -0.45923633
## 37 -0.97411791
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## 42 -0.67332728
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## 44 -0.98773060
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## 60 -0.60058300
## 61 -0.98597884
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## 63 -0.99298102
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## 78 -0.65608854
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## 81 -0.96917564
## 82 -0.59103694
## 83 -0.25474713
## 84 -0.45725061
## 85 -0.97572785
## 86 -0.99018096
## 87 -0.98318809
## 88 -0.64507518
## 89 -0.56539613
## 90 -0.73142236
## 91 -0.98869528
## 92 -0.98936314
## 93 -0.99117243
## 94 -0.72068229
## 95 -0.58966315
## 96 -0.78783363
## 97 -0.98276553
## 98 -0.99520456
## 99 -0.99272394
## 100 -0.58271186
## 101 -0.57734888
## 102 -0.66900876
## 103 -0.99190101
## 104 -0.99480819
## 105 -0.98896067
## 106 -0.71059631
## 107 -0.74423605
## 108 -0.82619316
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## 110 -0.98672742
## 111 -0.98453661
## 112 -0.26244282
## 113 -0.02290453
## 114 -0.47718391
## 115 -0.98111982
## 116 -0.97610835
## 117 -0.92960001
## 118 -0.18036534
## 119 -0.31166847
## 120 -0.45039345
## 121 -0.98299332
## 122 -0.99001427
## 123 -0.97612676
## 124 -0.49959720
## 125 -0.49080495
## 126 -0.62891575
## 127 -0.97663898
## 128 -0.97777545
## 129 -0.96837780
## 130 -0.55394612
## 131 -0.58351052
## 132 -0.66799600
## 133 -0.98184685
## 134 -0.98070721
## 135 -0.97259881
## 136 0.14661857
## 137 0.07467546
## 138 -0.51871565
## 139 -0.97859674
## 140 -0.99085475
## 141 -0.98111924
## 142 -0.57159439
## 143 -0.47444993
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## 145 -0.96825161
## 146 -0.99178170
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## 149 -0.68703428
## 150 -0.82240391
## 151 -0.99043091
## 152 -0.99398545
## 153 -0.98576226
## 154 -0.61946104
## 155 -0.47220075
## 156 -0.67358066
## 157 -0.99356378
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## 159 -0.98941848
## 160 -0.62328820
## 161 -0.46777777
## 162 -0.71917980
## 163 -0.97183058
## 164 -0.97946587
## 165 -0.95875858
## 166 -0.59596510
## 167 -0.39672071
## 168 -0.66250582
## 169 -0.99761739
## 170 -0.99506305
## 171 -0.99167205
## 172 -0.62850112
## 173 -0.59657863
## 174 -0.69745455
## 175 -0.97782134
## 176 -0.99175068
## 177 -0.95924217
## 178 -0.54762175
## 179 -0.61757881
## 180 -0.77397445
## domainbodyfrequencyBodyAngularvelocityJerkMagnitudesignals.meanFreq..
## 1 0.1764859071
## 2 0.1847759281
## 3 0.3344987343
## 4 0.1906634488
## 5 0.1900007062
## 6 0.1142773425
## 7 0.2648015054
## 8 0.1947221493
## 9 0.1606628239
## 10 0.1263446144
## 11 -0.0512479641
## 12 0.0467433991
## 13 0.1106977042
## 14 0.0871902339
## 15 -0.0206307818
## 16 0.0457622958
## 17 0.0654444361
## 18 0.0753843585
## 19 0.2029493815
## 20 0.0859342030
## 21 0.0609850024
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## 23 0.1444369257
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## 26 0.0812901326
## 27 -0.0393135966
## 28 0.0527330125
## 29 0.0723815085
## 30 0.0057863112
## 31 0.1637653187
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## 37 0.1044229529
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## 39 0.0954707400
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## 42 0.0473349273
## 43 0.2193712461
## 44 0.1666387478
## 45 0.1791736900
## 46 0.2945900067
## 47 0.2428436187
## 48 0.2516633182
## 49 -0.0162013787
## 50 0.0315348663
## 51 0.0243650848
## 52 0.2432221818
## 53 0.1320210146
## 54 0.1360011501
## 55 0.2026247003
## 56 0.3440085028
## 57 0.0133897488
## 58 -0.0002340192
## 59 0.1787731170
## 60 0.1585910309
## 61 0.2560349769
## 62 0.1593453668
## 63 0.2232974089
## 64 0.0563648369
## 65 -0.0094250735
## 66 0.0153270269
## 67 0.0227004241
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## 70 0.0777777588
## 71 0.0658769890
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## 73 0.0544469964
## 74 0.1911022340
## 75 0.1759574740
## 76 0.2290379565
## 77 0.2074357190
## 78 0.1073012539
## 79 0.1216438006
## 80 0.0740675933
## 81 0.0125408703
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## 83 0.0529337426
## 84 0.0763471680
## 85 0.0886671329
## 86 0.2080168179
## 87 0.0570238664
## 88 0.0070601079
## 89 0.0564155791
## 90 0.1440107492
## 91 0.0909875828
## 92 0.2326317658
## 93 0.2110781342
## 94 0.1076755658
## 95 0.1029278767
## 96 0.1345378923
## 97 0.2428508623
## 98 0.3586823610
## 99 0.3146178143
## 100 0.1520442287
## 101 0.1630452881
## 102 0.0865541720
## 103 0.3201322353
## 104 0.3296174667
## 105 0.0985401527
## 106 0.2699676150
## 107 0.0717609181
## 108 0.0772586583
## 109 0.0457006718
## 110 0.0978646251
## 111 0.0645676883
## 112 0.2503826868
## 113 0.1851854916
## 114 0.2603464414
## 115 0.1996536475
## 116 0.1336353438
## 117 -0.1337514405
## 118 0.0212252251
## 119 -0.0429685326
## 120 0.1190291967
## 121 0.2099952374
## 122 0.2482995470
## 123 0.1499792315
## 124 0.2077882408
## 125 0.2213579941
## 126 0.2081559341
## 127 0.1124237084
## 128 0.0911684163
## 129 -0.1829235966
## 130 0.2795741039
## 131 0.3396563408
## 132 0.2635271834
## 133 0.2258850690
## 134 0.0531832552
## 135 0.1283762380
## 136 0.1766934485
## 137 0.2218494837
## 138 0.2337700595
## 139 0.2618139450
## 140 0.2122965115
## 141 0.1448690509
## 142 0.2092004176
## 143 0.0997292209
## 144 0.0122259033
## 145 0.0859903396
## 146 0.2533702408
## 147 0.0811606181
## 148 -0.0036339745
## 149 -0.1012788027
## 150 -0.0511617273
## 151 0.2399354776
## 152 0.3005293636
## 153 0.1045167776
## 154 0.1942154693
## 155 -0.0043410088
## 156 -0.0512559512
## 157 0.3483214532
## 158 0.2249750479
## 159 0.2128953103
## 160 0.0859756803
## 161 0.0841231922
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## 163 0.0118828610
## 164 0.0024959274
## 165 -0.1124428826
## 166 -0.0760839276
## 167 0.1312601262
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## 169 0.4263016799
## 170 0.3077908781
## 171 0.2198670660
## 172 0.0796848522
## 173 0.0844737247
## 174 0.0535852933
## 175 0.1072525538
## 176 0.2166511186
## 177 -0.1317205382
## 178 0.1023462973
## 179 0.0227158393
## 180 -0.0714398679
## angle.TimedomainbodyAccelerationMean.gravity.
## 1 2.136597e-02
## 2 2.744155e-02
## 3 -2.223407e-04
## 4 6.045375e-02
## 5 -2.695125e-03
## 6 9.608608e-02
## 7 5.791810e-03
## 8 3.952843e-02
## 9 -1.368192e-02
## 10 -3.010174e-02
## 11 -2.432911e-02
## 12 9.465111e-02
## 13 1.789594e-02
## 14 3.271729e-02
## 15 7.727706e-03
## 16 5.275028e-02
## 17 -4.757942e-02
## 18 1.348856e-02
## 19 -2.357753e-03
## 20 -1.075347e-02
## 21 1.473124e-02
## 22 -1.200978e-02
## 23 6.337594e-04
## 24 5.920515e-02
## 25 2.120919e-02
## 26 2.870365e-02
## 27 -8.608569e-03
## 28 -3.228682e-02
## 29 -3.973846e-02
## 30 -2.042244e-02
## 31 4.989439e-03
## 32 2.327624e-03
## 33 1.234945e-02
## 34 -6.803471e-02
## 35 -4.530852e-02
## 36 8.641381e-03
## 37 3.644771e-02
## 38 1.363660e-02
## 39 1.024690e-02
## 40 -2.361439e-02
## 41 -3.861536e-02
## 42 1.757997e-02
## 43 -2.449043e-02
## 44 1.198963e-02
## 45 2.589490e-02
## 46 7.386153e-02
## 47 -1.436806e-02
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## 49 9.910772e-04
## 50 2.130743e-02
## 51 1.160172e-02
## 52 -2.596579e-02
## 53 -1.122777e-01
## 54 1.291540e-01
## 55 -2.387298e-02
## 56 -7.538811e-04
## 57 -1.379047e-02
## 58 -1.984113e-02
## 59 -3.334496e-02
## 60 1.102937e-01
## 61 2.750338e-03
## 62 -1.178601e-02
## 63 -2.316692e-03
## 64 6.193811e-02
## 65 -4.650725e-02
## 66 -1.685756e-02
## 67 4.272298e-03
## 68 1.563159e-02
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## 70 4.498007e-02
## 71 -2.655334e-02
## 72 5.233937e-02
## 73 -1.263426e-04
## 74 -3.138534e-02
## 75 1.442342e-02
## 76 1.249049e-02
## 77 -4.774920e-02
## 78 1.344271e-02
## 79 1.772967e-02
## 80 2.760233e-02
## 81 7.429672e-03
## 82 5.946294e-02
## 83 3.549915e-03
## 84 7.225416e-02
## 85 4.157223e-03
## 86 1.280447e-03
## 87 -2.319950e-03
## 88 1.138314e-02
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## 90 4.435724e-02
## 91 5.392728e-02
## 92 1.796291e-02
## 93 5.917980e-03
## 94 1.480843e-02
## 95 -1.630426e-01
## 96 2.389275e-02
## 97 7.772761e-03
## 98 -9.176150e-03
## 99 1.511425e-02
## 100 6.318500e-02
## 101 -6.177845e-02
## 102 5.899563e-02
## 103 7.802015e-03
## 104 1.463484e-02
## 105 9.917167e-03
## 106 3.926828e-02
## 107 -2.705133e-02
## 108 1.459570e-02
## 109 -2.110749e-02
## 110 3.584152e-02
## 111 1.349427e-02
## 112 -3.473716e-02
## 113 5.441817e-05
## 114 2.170966e-02
## 115 1.038092e-03
## 116 2.950227e-02
## 117 1.462162e-02
## 118 -4.012483e-03
## 119 -5.539909e-02
## 120 5.772488e-03
## 121 7.529687e-05
## 122 4.241696e-02
## 123 1.699999e-02
## 124 -3.418504e-03
## 125 3.253177e-02
## 126 -3.159203e-02
## 127 2.763935e-02
## 128 -3.105068e-03
## 129 4.626413e-03
## 130 -7.002738e-03
## 131 -4.772930e-02
## 132 4.408666e-02
## 133 1.572816e-02
## 134 1.156164e-02
## 135 1.187900e-02
## 136 3.045462e-02
## 137 -7.870972e-02
## 138 3.106528e-02
## 139 1.699660e-02
## 140 2.055875e-02
## 141 1.294374e-02
## 142 -3.030037e-03
## 143 -5.630718e-02
## 144 -1.906946e-02
## 145 6.830847e-02
## 146 7.954624e-03
## 147 -6.093155e-03
## 148 -3.136012e-02
## 149 -7.107758e-02
## 150 1.370475e-02
## 151 -4.196280e-05
## 152 -2.688528e-04
## 153 -5.214900e-03
## 154 4.678141e-02
## 155 7.678477e-02
## 156 4.189956e-02
## 157 2.164265e-02
## 158 -3.214024e-04
## 159 1.721206e-02
## 160 1.253949e-02
## 161 -1.097203e-01
## 162 3.026105e-02
## 163 3.881749e-02
## 164 1.236779e-02
## 165 7.609950e-03
## 166 6.311943e-03
## 167 -1.331354e-01
## 168 6.175885e-02
## 169 -1.251857e-02
## 170 2.035564e-02
## 171 -1.482162e-02
## 172 6.931331e-02
## 173 -6.020612e-02
## 174 5.556619e-02
## 175 -1.061312e-02
## 176 -1.519255e-02
## 177 1.728144e-02
## 178 5.301528e-02
## 179 6.569962e-03
## 180 -1.802170e-04
## angle.TimedomainbodyAccelerationJerkMean..gravityMean.
## 1 0.0030604074
## 2 0.0297097878
## 3 0.0219637827
## 4 -0.0079303785
## 5 0.0899316866
## 6 -0.0610838413
## 7 -0.0063555765
## 8 -0.0033928669
## 9 0.0411822245
## 10 0.0534005801
## 11 -0.0063755052
## 12 -0.0077546690
## 13 0.0166479534
## 14 0.0040782968
## 15 0.0246545251
## 16 -0.0763020649
## 17 -0.0108494994
## 18 0.1151768012
## 19 -0.0155037568
## 20 -0.0075990574
## 21 0.0045729089
## 22 0.0009211045
## 23 -0.0525297219
## 24 -0.0050623654
## 25 0.0553647963
## 26 -0.0209532539
## 27 -0.0057222439
## 28 -0.0117215776
## 29 -0.0414008516
## 30 -0.0772287024
## 31 0.0322170354
## 32 -0.0238156430
## 33 -0.0073786249
## 34 0.0055953282
## 35 -0.0358369679
## 36 0.0032111740
## 37 0.0199228239
## 38 -0.0387514768
## 39 -0.0238336055
## 40 -0.0053808422
## 41 -0.0307260213
## 42 0.0140026346
## 43 -0.0219448740
## 44 -0.0175702778
## 45 -0.0082046212
## 46 -0.0331417691
## 47 -0.1194653582
## 48 -0.0979335781
## 49 -0.0218178513
## 50 -0.0319304736
## 51 0.0048663167
## 52 0.0623476590
## 53 -0.0921238957
## 54 0.0018840350
## 55 -0.0121815291
## 56 0.0412403815
## 57 0.0303705890
## 58 -0.0428316086
## 59 -0.0341618390
## 60 -0.0075300025
## 61 0.0014353872
## 62 -0.0105682441
## 63 -0.0139522135
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## 65 0.0251428884
## 66 -0.0632903682
## 67 0.0232429679
## 68 -0.0246810833
## 69 0.0123418554
## 70 0.0160849354
## 71 0.0328773767
## 72 0.0388568273
## 73 0.0032419144
## 74 0.0209112877
## 75 -0.0235598901
## 76 0.0119029060
## 77 0.0220198445
## 78 0.0436485618
## 79 0.0116599808
## 80 0.0146690544
## 81 0.0175847539
## 82 0.0084610723
## 83 0.1064217733
## 84 -0.0091539598
## 85 -0.0187121704
## 86 0.0122376311
## 87 0.0222929098
## 88 -0.0788266043
## 89 0.0167093420
## 90 -0.0221758428
## 91 0.0259656102
## 92 -0.0001601600
## 93 0.0410077143
## 94 0.0100011475
## 95 -0.0449862704
## 96 0.0808783829
## 97 0.0190444743
## 98 0.0028135219
## 99 0.0030196722
## 100 -0.0086062489
## 101 -0.1205539757
## 102 0.0683932525
## 103 0.0285001831
## 104 0.0111668165
## 105 0.0006368392
## 106 0.0230035142
## 107 -0.0321249909
## 108 0.0709435610
## 109 0.0113723793
## 110 -0.0203678172
## 111 0.0055184556
## 112 0.0098040475
## 113 0.0187805524
## 114 0.0058562136
## 115 0.0201551674
## 116 0.0217677663
## 117 0.0060084600
## 118 0.0302966773
## 119 0.0429476564
## 120 -0.0550380313
## 121 0.0209488811
## 122 -0.0016166560
## 123 -0.0231209384
## 124 -0.0128303728
## 125 -0.0416673578
## 126 -0.0664956521
## 127 0.0484043606
## 128 -0.0152935294
## 129 0.0194333314
## 130 0.0411484051
## 131 -0.0517115658
## 132 -0.0592812958
## 133 -0.0082333948
## 134 -0.0022422696
## 135 0.0156168896
## 136 -0.0766106377
## 137 -0.0309622597
## 138 0.0332454766
## 139 0.0037376826
## 140 -0.0050303666
## 141 0.0208373898
## 142 -0.1027139285
## 143 0.0070607027
## 144 -0.0093226670
## 145 0.2032599659
## 146 -0.0073306552
## 147 0.0127270487
## 148 0.0971389152
## 149 -0.0854018992
## 150 0.0261519510
## 151 0.0264901103
## 152 0.0334113465
## 153 0.0272384217
## 154 -0.0047309946
## 155 -0.0461740932
## 156 0.0466143060
## 157 -0.0094734480
## 158 0.0256382561
## 159 0.0346993396
## 160 0.0248390151
## 161 0.0009348858
## 162 0.0173688089
## 163 -0.0392425156
## 164 0.0076623530
## 165 0.0150505403
## 166 -0.0430248399
## 167 -0.0496659827
## 168 0.0502811748
## 169 -0.0084845011
## 170 0.0058355729
## 171 0.0217420440
## 172 -0.0579199534
## 173 0.0681507696
## 174 -0.0594013961
## 175 0.0369006013
## 176 0.0458753733
## 177 0.0041668916
## 178 -0.0152830439
## 179 -0.0615355432
## 180 0.0868940141
## angle.TimedomainbodyAngularvelocityMean.gravityMean.
## 1 -0.001666985
## 2 0.067698134
## 3 -0.033793838
## 4 0.013059491
## 5 0.063338285
## 6 -0.194699963
## 7 0.065286011
## 8 0.020973170
## 9 -0.015103516
## 10 0.021619677
## 11 0.366551180
## 12 0.015381561
## 13 0.045587477
## 14 0.064370666
## 15 0.009799109
## 16 0.096843832
## 17 0.313783896
## 18 -0.263078223
## 19 0.007129605
## 20 -0.032687280
## 21 0.101339341
## 22 0.017781368
## 23 0.353626044
## 24 -0.246559359
## 25 -0.005812889
## 26 -0.017875219
## 27 0.086699045
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## 29 0.123686466
## 30 -0.293346476
## 31 0.085938987
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## 38 -0.018369851
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## 42 0.106104407
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## 46 -0.185503909
## 47 0.265290535
## 48 -0.389305120
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## 58 -0.125263284
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## 64 0.057973080
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## 66 -0.009556578
## 67 0.030970951
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## 69 0.028920146
## 70 0.175529427
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## 84 -0.223951414
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## 88 0.040557688
## 89 0.306097729
## 90 -0.366351792
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## 93 0.036808639
## 94 -0.109617480
## 95 0.126499396
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## 176 -0.007599885
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## 179 0.081133813
## 180 -0.036201202
## angle.TimedomainbodyAngularvelocityJerkMean.gravityMean.
## 1 8.443716e-02
## 2 -6.488162e-02
## 3 -2.792293e-02
## 4 -1.874319e-02
## 5 -3.997685e-02
## 6 6.568357e-02
## 7 -2.937101e-02
## 8 -7.620420e-02
## 9 1.123246e-01
## 10 -8.584708e-02
## 11 -7.358030e-02
## 12 -8.103130e-02
## 13 3.172617e-02
## 14 -2.523555e-02
## 15 -5.054407e-02
## 16 -3.668922e-02
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## 18 3.039925e-02
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## 25 -3.444203e-02
## 26 -8.859339e-02
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## 97 -5.302555e-02
## 98 -5.715303e-02
## 99 7.045680e-02
## 100 1.013865e-02
## 101 7.399919e-03
## 102 1.056213e-01
## 103 2.900407e-02
## 104 -4.849639e-02
## 105 -6.805885e-03
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## 145 2.630128e-02
## 146 -5.046201e-02
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## 179 -1.089736e-01
## 180 1.748886e-02
## angle.X.gravityMean. angle.Y.gravityMean. angle.Z.gravityMean.
## 1 0.4267062 -5.203438e-01 -0.3524131090
## 2 -0.5912475 -6.046603e-02 -0.2180172251
## 3 -0.7434079 2.701750e-01 0.0122528504
## 4 -0.7292472 2.769530e-01 0.0688589120
## 5 -0.7444838 2.672458e-01 0.0650047072
## 6 -0.6471957 3.347633e-01 0.0741663682
## 7 0.6174234 -5.197326e-01 -0.4789282340
## 8 -0.7744361 1.558573e-01 -0.1182243986
## 9 -0.6271801 3.379379e-01 -0.0678959806
## 10 -0.6619600 3.214430e-01 -0.0368892833
## 11 -0.6249856 3.118003e-01 0.0537293986
## 12 -0.4776989 3.737490e-01 0.1651474580
## 13 0.4235059 -6.300628e-01 -0.3462430705
## 14 -0.7598119 -6.324801e-03 -0.0783934905
## 15 -0.7119038 2.898241e-01 0.0045709838
## 16 -0.7228040 2.624919e-01 0.1174032801
## 17 -0.7668235 2.409272e-01 0.0932212612
## 18 -0.6009714 3.469850e-01 0.1342937013
## 19 0.5534898 -7.632172e-01 -0.2297904329
## 20 -0.7102762 -7.099879e-02 -0.0563298907
## 21 -0.8310444 1.357787e-01 -0.0951347516
## 22 -0.8652843 1.425102e-01 -0.0675179864
## 23 -0.8524091 1.265382e-01 -0.0832015468
## 24 -0.7754835 2.433892e-01 -0.0368022039
## 25 0.5987327 -8.252999e-01 -0.1681463267
## 26 -0.7301017 -3.844940e-02 -0.0806862755
## 27 -0.8627673 1.104464e-01 -0.0754509648
## 28 -0.9171140 1.524616e-01 0.0200338147
## 29 -0.9471165 1.258769e-01 0.0064810954
## 30 -0.7543463 2.666110e-01 0.0378686890
## 31 0.5933944 -8.745677e-01 -0.1066244187
## 32 -0.7847724 3.605129e-02 -0.0278227699
## 33 -0.7595003 2.408546e-01 0.0121273276
## 34 -0.8062052 2.304436e-01 -0.0013036427
## 35 -0.8040771 2.327715e-01 0.0239615746
## 36 -0.6790960 3.185080e-01 0.0345334915
## 37 0.6124880 -2.075186e-01 -0.8085537563
## 38 -0.9306543 7.973168e-02 -0.0238078588
## 39 -0.8191236 1.640113e-01 0.0579886624
## 40 -0.7477656 1.923393e-01 0.1353805251
## 41 -0.7780275 1.729895e-01 0.1316399086
## 42 -0.5193124 2.486992e-01 0.3120616033
## 43 0.5425974 -4.006814e-01 -0.6018852115
## 44 -0.6160804 -8.669481e-02 -0.1695093040
## 45 -0.8408397 1.455655e-01 0.0905212998
## 46 -0.6849917 2.319189e-01 0.1538612023
## 47 -0.7341802 2.132620e-01 0.1230854502
## 48 -0.6139352 2.859228e-01 0.1606973904
## 49 0.6688740 1.707891e-01 -0.8736493670
## 50 -0.8064138 1.131528e-01 -0.0419131160
## 51 -0.8596076 9.099856e-02 0.0154296719
## 52 -0.8445148 1.052815e-01 0.1038499475
## 53 -0.8743249 1.080892e-01 0.0810164383
## 54 -0.7047939 1.093756e-01 0.2123329321
## 55 0.5772224 2.138349e-01 0.1059263769
## 56 -0.5425188 1.087993e-01 -0.1219368499
## 57 -0.8176481 1.125971e-01 -0.0025686409
## 58 -0.8582757 1.410823e-01 -0.0165720955
## 59 -0.8779150 1.283106e-01 -0.0081153079
## 60 -0.7922895 1.218409e-01 0.0057915515
## 61 0.3452778 -8.131308e-01 -0.0593468644
## 62 -0.6634599 -6.863984e-02 -0.1120356008
## 63 -0.8019864 2.017629e-01 -0.0668709774
## 64 -0.7704279 2.286509e-01 -0.0716213476
## 65 -0.7802459 2.212638e-01 -0.0709612617
## 66 -0.6454537 3.214283e-01 -0.0805376937
## 67 0.5231784 -6.500381e-01 -0.2132356413
## 68 -0.8263224 2.521923e-02 -0.0422271070
## 69 -0.7926849 2.329791e-01 0.0491145448
## 70 -0.8602325 1.903507e-01 0.0468428401
## 71 -0.8284741 2.067748e-01 0.0610767198
## 72 -0.7406883 2.611852e-01 0.0705748215
## 73 0.3612108 -4.756247e-01 -0.4775265619
## 74 -0.7887768 1.198829e-02 -0.0324103521
## 75 -0.7416859 2.472411e-01 0.0582448749
## 76 -0.6708599 2.779569e-01 0.1137770569
## 77 -0.7649658 2.285750e-01 0.0880783818
## 78 -0.5601404 3.309458e-01 0.1690195284
## 79 0.3491160 -2.770206e-01 -0.6887668100
## 80 -0.8044094 1.087084e-01 0.0892149622
## 81 -0.6015810 2.380635e-01 0.2603588917
## 82 -0.4977834 2.697406e-01 0.3250650947
## 83 -0.5265503 2.662388e-01 0.3037812333
## 84 -0.3796744 3.116071e-01 0.3904443685
## 85 0.3728913 -7.194128e-01 0.0489176476
## 86 -0.7347558 -6.590285e-02 0.0196156260
## 87 -0.8419199 1.961111e-01 -0.0231407098
## 88 -0.7781960 2.435453e-01 -0.0307724957
## 89 -0.8294119 2.002507e-01 -0.0340215505
## 90 -0.6962827 3.006760e-01 -0.0346700269
## 91 0.3982080 9.822091e-02 -0.7564979654
## 92 -0.7997193 1.429997e-01 -0.0411259984
## 93 -0.7886135 1.233024e-01 0.1386873150
## 94 -0.7347206 1.294184e-01 0.1743563184
## 95 -0.7311514 1.237232e-01 0.1809557064
## 96 -0.5455766 1.387731e-01 0.2934975447
## 97 0.3950766 -4.262356e-01 -0.5550028769
## 98 -0.8144541 8.575828e-02 0.1178606784
## 99 -0.6622628 2.602175e-01 0.1642265206
## 100 -0.7270208 2.071865e-01 0.1550740082
## 101 -0.7545807 1.876821e-01 0.1357249227
## 102 -0.5725478 2.799925e-01 0.2332588738
## 103 0.4109021 -5.123918e-01 -0.4634026769
## 104 -0.7407864 -7.468886e-03 -0.0928842059
## 105 -0.7746819 2.231418e-01 0.0557066927
## 106 -0.7143132 2.580893e-01 0.0647930852
## 107 -0.7436057 2.385570e-01 0.0564579905
## 108 -0.6340130 3.023272e-01 0.0969887787
## 109 0.7377844 -4.764918e-01 -0.5044275181
## 110 -0.3045485 -1.763178e-01 -0.3480648727
## 111 -0.7620930 2.368582e-01 -0.0690773783
## 112 -0.7662810 2.375855e-01 0.0847615796
## 113 -0.7418425 2.360006e-01 0.1140118820
## 114 -0.5438305 3.529176e-01 0.1793526235
## 115 0.5899631 -6.562942e-01 -0.3314857843
## 116 -0.7642071 3.290722e-02 -0.0860447385
## 117 -0.6970114 2.954613e-01 -0.0275259508
## 118 -0.6655196 3.224476e-01 0.0462280993
## 119 -0.7258886 2.754970e-01 0.0414395444
## 120 -0.4724205 4.247612e-01 0.1142371779
## 121 0.3770409 -3.649850e-01 -0.6136961202
## 122 -0.8091466 6.832177e-02 0.0612901142
## 123 -0.6112356 3.221362e-01 0.1664528790
## 124 -0.5810709 3.402377e-01 0.1760416171
## 125 -0.6099970 3.310932e-01 0.1533173564
## 126 -0.4674149 3.867585e-01 0.2410931366
## 127 0.5524572 -3.990099e-01 -0.6033486958
## 128 -0.6064941 -6.246426e-02 -0.2051951285
## 129 -0.7884516 2.384373e-01 -0.0007651517
## 130 -0.7488091 2.621076e-01 0.0054581015
## 131 -0.7748815 2.383874e-01 -0.0075362619
## 132 -0.6563884 3.178759e-01 0.0891294692
## 133 0.5332350 -2.326464e-01 -0.7817690615
## 134 -0.7980668 -2.225862e-05 -0.0230392130
## 135 -0.7537732 1.640309e-01 0.1800989725
## 136 -0.7847980 1.948853e-01 0.1347160051
## 137 -0.8165924 1.603354e-01 0.1317464384
## 138 -0.5853604 2.323584e-01 0.2779622847
## 139 0.5103601 -4.944148e-01 -0.5059431811
## 140 -0.7652098 -4.265570e-02 -0.0558413695
## 141 -0.8578652 1.829084e-01 0.0586753424
## 142 -0.8303308 1.624120e-01 0.1201214402
## 143 -0.8198388 1.717622e-01 0.1200578956
## 144 -0.6829188 2.471224e-01 0.1814799124
## 145 0.5860500 -4.529593e-01 -0.4165022091
## 146 -0.7016920 -6.456646e-02 -0.0984975364
## 147 -0.7452563 1.925849e-01 -0.1202053824
## 148 -0.7785106 1.709143e-01 -0.1112442499
## 149 -0.7799008 1.335108e-01 -0.1335069442
## 150 -0.7501224 2.337304e-01 -0.0545542418
## 151 0.6957435 -5.574771e-01 -0.4385771447
## 152 -0.5648011 -7.793024e-02 -0.2074196465
## 153 -0.8531508 1.796397e-01 -0.0398428930
## 154 -0.8492167 1.754506e-01 -0.0542326854
## 155 -0.8435735 1.388694e-01 -0.0868762146
## 156 -0.7750233 2.530348e-01 0.0231785949
## 157 0.6319862 -3.357221e-01 -0.6765155953
## 158 -0.6303092 -6.622848e-02 -0.1782066641
## 159 -0.8334226 2.123697e-01 0.0256013688
## 160 -0.7808937 2.118752e-01 0.1100646192
## 161 -0.7762719 1.984419e-01 0.1210828333
## 162 -0.6244930 2.411890e-01 0.2326880280
## 163 0.6033925 -2.646735e-02 0.0503114269
## 164 -0.6893622 1.606751e-01 -0.0763153268
## 165 -0.7671741 2.529969e-01 0.0484423399
## 166 -0.7567157 2.405245e-01 0.1093028185
## 167 -0.7504815 2.463226e-01 0.1069810816
## 168 -0.5827625 3.147251e-01 0.2090008131
## 169 0.5014213 -5.734220e-01 -0.4234732791
## 170 -0.6710999 -2.339323e-02 -0.1817373842
## 171 -0.9235158 1.237929e-01 -0.0003276985
## 172 -0.8617712 1.709531e-01 -0.0450589470
## 173 -0.8964440 1.364599e-01 -0.0434252902
## 174 -0.7854853 2.414371e-01 -0.0095062842
## 175 0.4998487 -4.922870e-01 -0.5070199383
## 176 -0.5963054 1.039465e-03 -0.2275346061
## 177 -0.8781591 1.522859e-01 0.0046998888
## 178 -0.8613229 1.916256e-01 0.0244499704
## 179 -0.8831362 1.709113e-01 0.0013912731
## 180 -0.7901143 2.409754e-01 0.0373906500
## TimedomainbodyAcceleration.std...X TimedomainbodyAcceleration.std...Y
## 1 -0.928056469 -0.836827406
## 2 -0.977229008 -0.922618642
## 3 -0.995759902 -0.973190056
## 4 -0.283740259 0.114461337
## 5 0.030035338 -0.031935943
## 6 -0.354708025 -0.002320265
## 7 -0.974059465 -0.980277399
## 8 -0.986822280 -0.950704499
## 9 -0.987271889 -0.957304989
## 10 -0.423642838 -0.078091253
## 11 0.046366681 0.262881789
## 12 -0.304376406 0.108027280
## 13 -0.982776639 -0.962057545
## 14 -0.971010121 -0.856617812
## 15 -0.966742543 -0.893449307
## 16 -0.360356726 -0.069914065
## 17 -0.057410048 -0.033150372
## 18 -0.313123438 0.011628081
## 19 -0.954193739 -0.941714042
## 20 -0.980309931 -0.890223981
## 21 -0.976920580 -0.861597379
## 22 -0.440829971 -0.078826737
## 23 0.011193550 -0.218598325
## 24 -0.204933043 -0.066689911
## 25 -0.965934510 -0.969295613
## 26 -0.980945022 -0.904335121
## 27 -0.968591816 -0.869439913
## 28 -0.294098534 0.076748403
## 29 0.275046110 0.090763076
## 30 -0.045723778 0.185022459
## 31 -0.934049422 -0.924644826
## 32 -0.980164934 -0.923682131
## 33 -0.981758160 -0.921493192
## 34 -0.296538717 0.164213885
## 35 0.383681640 0.360164959
## 36 -0.050135019 0.189276117
## 37 -0.936513610 -0.926262669
## 38 -0.972668375 -0.909454699
## 39 -0.979307570 -0.923400922
## 40 -0.327243241 -0.077261856
## 41 0.066081560 -0.138179073
## 42 -0.294872974 -0.326160023
## 43 -0.943041215 -0.934891160
## 44 -0.979026152 -0.927331997
## 45 -0.988815418 -0.938479429
## 46 -0.173605736 0.380782053
## 47 0.024139347 0.343826273
## 48 -0.171712175 0.348768733
## 49 -0.942333090 -0.916292776
## 50 -0.957227791 -0.875141405
## 51 -0.975741252 -0.938635759
## 52 -0.238353563 -0.201696961
## 53 0.213392271 -0.208310706
## 54 -0.361444378 -0.302206204
## 55 -0.968283685 -0.946454302
## 56 -0.982901826 -0.917979530
## 57 -0.978403482 -0.919561843
## 58 -0.178709734 -0.022743165
## 59 0.295733548 0.004079154
## 60 -0.161591924 -0.005552877
## 61 -0.984777330 -0.972196874
## 62 -0.982796562 -0.921402118
## 63 -0.994978879 -0.964173332
## 64 -0.422842072 -0.052212075
## 65 0.142456557 0.070812273
## 66 -0.238802959 -0.103167502
## 67 -0.955318680 -0.949072009
## 68 -0.982568782 -0.928581240
## 69 -0.981243992 -0.923140254
## 70 -0.128898533 -0.122783290
## 71 0.042408492 0.110835344
## 72 -0.290149192 -0.103818260
## 73 -0.968891989 -0.950947950
## 74 -0.989546275 -0.938967742
## 75 -0.991020759 -0.949422439
## 76 -0.346980394 0.141866689
## 77 -0.068156363 -0.032125247
## 78 -0.296284597 0.104470774
## 79 -0.917501887 -0.909697041
## 80 -0.976302248 -0.914935704
## 81 -0.973268905 -0.928525725
## 82 -0.402639098 -0.053612669
## 83 0.017831340 0.378870492
## 84 -0.309396718 0.307195533
## 85 -0.972255552 -0.962759422
## 86 -0.987084356 -0.922407163
## 87 -0.988949247 -0.931900148
## 88 -0.327961801 0.138912924
## 89 0.406471051 0.186532377
## 90 -0.026097184 -0.004065360
## 91 -0.973691429 -0.943061150
## 92 -0.986825605 -0.951607872
## 93 -0.989076812 -0.960298268
## 94 -0.404692524 -0.314569762
## 95 0.207251998 -0.146993838
## 96 -0.397083832 -0.163732745
## 97 -0.972960567 -0.944792875
## 98 -0.994443905 -0.961858630
## 99 -0.991163920 -0.968176664
## 100 -0.319500173 -0.017579789
## 101 0.187719760 -0.060789204
## 102 -0.062952754 -0.013172101
## 103 -0.984527649 -0.986160921
## 104 -0.994347989 -0.974928131
## 105 -0.992019763 -0.954223436
## 106 -0.376005521 -0.227005875
## 107 -0.302634565 -0.254214046
## 108 -0.380168287 -0.211155120
## 109 -0.965019580 -0.973449969
## 110 -0.976357663 -0.950388944
## 111 -0.989910997 -0.944430271
## 112 -0.048904941 0.181801561
## 113 0.626917071 0.514816446
## 114 -0.128742095 0.176349923
## 115 -0.962249115 -0.964098180
## 116 -0.983081859 -0.936122705
## 117 -0.967209961 -0.875410411
## 118 -0.208342792 0.489771809
## 119 0.074509879 0.616937015
## 120 -0.116088676 0.152196328
## 121 -0.955019866 -0.956959422
## 122 -0.991777287 -0.966877561
## 123 -0.981419961 -0.943601625
## 124 -0.297814844 0.054088051
## 125 0.224343492 0.301336400
## 126 -0.240808282 0.109787469
## 127 -0.947735252 -0.913276302
## 128 -0.978466824 -0.928059134
## 129 -0.985000527 -0.922693288
## 130 -0.008659219 0.100384246
## 131 0.348618168 0.239812251
## 132 0.083573864 0.250067524
## 133 -0.956756363 -0.976309827
## 134 -0.987607637 -0.934933559
## 135 -0.985421520 -0.958444492
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## 137 0.044139284 0.108259034
## 138 -0.243887819 0.044843579
## 139 -0.967984021 -0.983126462
## 140 -0.990593767 -0.956255962
## 141 -0.987255871 -0.936871974
## 142 -0.470762366 -0.154127498
## 143 -0.082732481 -0.102607327
## 144 -0.344399351 -0.116804489
## 145 -0.909116474 -0.691770681
## 146 -0.991892829 -0.947457617
## 147 -0.991970127 -0.954569226
## 148 -0.596007444 -0.161852412
## 149 -0.253756934 -0.140540604
## 150 -0.459775646 -0.223086809
## 151 -0.969445445 -0.983231352
## 152 -0.979768988 -0.940798966
## 153 -0.993069369 -0.949466155
## 154 -0.340185528 -0.136351392
## 155 0.173953850 -0.011629910
## 156 -0.169006952 -0.049172630
## 157 -0.978455153 -0.983736044
## 158 -0.988580108 -0.971579126
## 159 -0.991951584 -0.955171419
## 160 -0.348475561 -0.187301215
## 161 0.167407531 -0.097971003
## 162 -0.295439547 -0.095010408
## 163 -0.968888295 -0.945386780
## 164 -0.983272807 -0.939905245
## 165 -0.977748639 -0.875689217
## 166 -0.293003522 -0.117886186
## 167 0.125712888 0.156496647
## 168 -0.242062430 -0.146753877
## 169 -0.984219556 -0.990240947
## 170 -0.990745020 -0.963222498
## 171 -0.996068635 -0.969295721
## 172 -0.174337940 -0.091754061
## 173 0.167383602 -0.122463467
## 174 -0.086771557 -0.122128288
## 175 -0.976362515 -0.954201824
## 176 -0.983622744 -0.937857001
## 177 -0.977559427 -0.891654527
## 178 -0.346394275 -0.173550022
## 179 -0.057770316 -0.027262808
## 180 -0.350504475 -0.127311158
## TimedomainbodyAcceleration.std...Z TimedomaingravityAcceleration.std...X
## 1 -0.82606140 -0.8968300
## 2 -0.93958629 -0.9684571
## 3 -0.97977588 -0.9937630
## 4 -0.26002790 -0.9766096
## 5 -0.23043421 -0.9505598
## 6 -0.01947924 -0.9563670
## 7 -0.98423330 -0.9590144
## 8 -0.95982817 -0.9799888
## 9 -0.94974185 -0.9866858
## 10 -0.42525752 -0.9726932
## 11 -0.10283791 -0.9403618
## 12 -0.11212102 -0.9344077
## 13 -0.96369103 -0.9825122
## 14 -0.87511018 -0.9573245
## 15 -0.91141902 -0.9820204
## 16 -0.38741199 -0.9777716
## 17 -0.36224025 -0.9500611
## 18 -0.36975460 -0.9440408
## 19 -0.96266731 -0.9212000
## 20 -0.93220301 -0.9814053
## 21 -0.89688054 -0.9729084
## 22 -0.58625281 -0.9838265
## 23 -0.47918598 -0.9552589
## 24 -0.37213778 -0.9584952
## 25 -0.96856252 -0.9456953
## 26 -0.92609474 -0.9831375
## 27 -0.86932732 -0.9740882
## 28 -0.45702144 -0.9793484
## 29 -0.32589144 -0.9504909
## 30 -0.30893898 -0.9535800
## 31 -0.92521610 -0.8877463
## 32 -0.92579710 -0.9888724
## 33 -0.92569237 -0.9855831
## 34 -0.50432421 -0.9777799
## 35 -0.32020423 -0.9544063
## 36 -0.35351951 -0.9593994
## 37 -0.95297837 -0.9142213
## 38 -0.85653294 -0.9570824
## 39 -0.91706417 -0.9879175
## 40 0.15963128 -0.9798513
## 41 -0.06364024 -0.9648760
## 42 -0.14566503 -0.9328231
## 43 -0.93249145 -0.9188732
## 44 -0.93955303 -0.9667580
## 45 -0.92606526 -0.9876902
## 46 -0.14208853 -0.9747521
## 47 0.13371704 -0.9457666
## 48 0.12118728 -0.9266733
## 49 -0.94070729 -0.9218211
## 50 -0.83200187 -0.9552804
## 51 -0.91929581 -0.9891032
## 52 -0.05796365 -0.9809720
## 53 -0.00771530 -0.9521412
## 54 -0.25343408 -0.9543836
## 55 -0.95947149 -0.9545319
## 56 -0.96782698 -0.9731284
## 57 -0.94127144 -0.9912595
## 58 -0.39564507 -0.9744352
## 59 -0.18355756 -0.9392676
## 60 -0.07387449 -0.9592161
## 61 -0.97131118 -0.9795656
## 62 -0.96837018 -0.9880693
## 63 -0.98638271 -0.9945294
## 64 -0.53062631 -0.9811010
## 65 -0.32402694 -0.9544975
## 66 -0.20336940 -0.9534631
## 67 -0.94833384 -0.9364583
## 68 -0.93966189 -0.9852036
## 69 -0.92068480 -0.9853142
## 70 -0.41060606 -0.9791131
## 71 -0.42501741 -0.9595040
## 72 -0.43669743 -0.9602463
## 73 -0.95039300 -0.9578752
## 74 -0.93864122 -0.9813791
## 75 -0.96753803 -0.9922324
## 76 -0.22050354 -0.9725449
## 77 -0.15833315 -0.9526431
## 78 -0.21721057 -0.9464415
## 79 -0.90033192 -0.8621369
## 80 -0.92277484 -0.9762804
## 81 -0.92227631 -0.9720054
## 82 0.05188410 -0.9748169
## 83 0.45157608 -0.9190988
## 84 0.60901788 -0.9285236
## 85 -0.92958684 -0.9615097
## 86 -0.94933803 -0.9826209
## 87 -0.95167026 -0.9884321
## 88 -0.51893263 -0.9783973
## 89 -0.28198218 -0.9428065
## 90 -0.37971749 -0.9525624
## 91 -0.96549028 -0.9637620
## 92 -0.93967225 -0.9801582
## 93 -0.95346896 -0.9853597
## 94 -0.15979979 -0.9824696
## 95 0.01143539 -0.9577851
## 96 -0.12928383 -0.9484136
## 97 -0.95347670 -0.9610632
## 98 -0.96572920 -0.9901966
## 99 -0.97046268 -0.9857514
## 100 -0.26582449 -0.9809834
## 101 -0.23106416 -0.9500262
## 102 -0.23022095 -0.9494604
## 103 -0.98765866 -0.9827160
## 104 -0.97757272 -0.9940438
## 105 -0.96187391 -0.9942701
## 106 -0.42834806 -0.9830109
## 107 -0.41861013 -0.9604049
## 108 -0.31437339 -0.9617388
## 109 -0.98467284 -0.9589596
## 110 -0.95192962 -0.9693550
## 111 -0.95259965 -0.9924115
## 112 -0.13947794 -0.9698615
## 113 0.04932245 -0.8997261
## 114 -0.19046855 -0.9164960
## 115 -0.97257200 -0.9286742
## 116 -0.92910640 -0.9858290
## 117 -0.91314248 -0.9819169
## 118 -0.22873422 -0.9703273
## 119 -0.16093854 -0.9404581
## 120 -0.22924946 -0.9314050
## 121 -0.94565379 -0.9459053
## 122 -0.95956786 -0.9929364
## 123 -0.94612341 -0.9829067
## 124 -0.16868873 -0.9695764
## 125 -0.07178936 -0.9401948
## 126 -0.21970793 -0.9409116
## 127 -0.94294581 -0.9287812
## 128 -0.91756485 -0.9720100
## 129 -0.94220166 -0.9928273
## 130 -0.21335197 -0.9696434
## 131 -0.32572272 -0.9412423
## 132 -0.10961322 -0.9406338
## 133 -0.97322350 -0.9479488
## 134 -0.90558439 -0.9845367
## 135 -0.92940975 -0.9846104
## 136 0.16422069 -0.9772309
## 137 0.22989874 -0.9507908
## 138 0.10080119 -0.9333445
## 139 -0.97356696 -0.9604122
## 140 -0.95705611 -0.9896601
## 141 -0.93028353 -0.9921976
## 142 -0.28884002 -0.9831324
## 143 -0.20556638 -0.9618453
## 144 -0.25560101 -0.9621906
## 145 -0.71726200 -0.8295549
## 146 -0.96513955 -0.9888800
## 147 -0.96464269 -0.9931483
## 148 -0.43713340 -0.9794993
## 149 -0.45797238 -0.9644701
## 150 -0.29652398 -0.9508785
## 151 -0.98450001 -0.9444725
## 152 -0.95000441 -0.9650829
## 153 -0.96298840 -0.9926788
## 154 -0.33348650 -0.9800557
## 155 -0.28480768 -0.9627220
## 156 -0.40459694 -0.9620114
## 157 -0.98663700 -0.9711839
## 158 -0.96585874 -0.9824457
## 159 -0.96240844 -0.9940122
## 160 -0.29731827 -0.9798661
## 161 -0.24004078 -0.9469752
## 162 -0.23070788 -0.9564339
## 163 -0.95645034 -0.9705991
## 164 -0.93666725 -0.9891325
## 165 -0.90512382 -0.9900594
## 166 -0.30092840 -0.9766939
## 167 -0.34103181 -0.9569215
## 168 -0.28598691 -0.9446978
## 169 -0.98725515 -0.9729399
## 170 -0.96806388 -0.9846792
## 171 -0.98020749 -0.9967642
## 172 -0.24282804 -0.9782535
## 173 -0.22317800 -0.9417362
## 174 0.09954435 -0.9541890
## 175 -0.96704424 -0.9795639
## 176 -0.95065404 -0.9783647
## 177 -0.91285060 -0.9964209
## 178 -0.12047678 -0.9797525
## 179 -0.21727569 -0.9588904
## 180 0.02494680 -0.9540336
## TimedomaingravityAcceleration.std...Y TimedomaingravityAcceleration.std...Z
## 1 -0.9077200 -0.8523663
## 2 -0.9355171 -0.9490409
## 3 -0.9812260 -0.9763241
## 4 -0.9713060 -0.9477172
## 5 -0.9370187 -0.8959397
## 6 -0.9528492 -0.9123794
## 7 -0.9882119 -0.9842304
## 8 -0.9567503 -0.9544159
## 9 -0.9741944 -0.9459271
## 10 -0.9721169 -0.9720728
## 11 -0.9400685 -0.9314383
## 12 -0.9237675 -0.8780041
## 13 -0.9812027 -0.9648075
## 14 -0.9039230 -0.8977363
## 15 -0.9574253 -0.9281616
## 16 -0.9623556 -0.9520918
## 17 -0.9460946 -0.8999439
## 18 -0.9098260 -0.9094697
## 19 -0.9698166 -0.9761766
## 20 -0.9327271 -0.9509493
## 21 -0.9176135 -0.8994048
## 22 -0.9679632 -0.9629681
## 23 -0.9320660 -0.9377538
## 24 -0.9233760 -0.9196195
## 25 -0.9859641 -0.9770766
## 26 -0.9399430 -0.9450090
## 27 -0.9319739 -0.9146085
## 28 -0.9615855 -0.9645808
## 29 -0.9123634 -0.9271927
## 30 -0.9005117 -0.9214196
## 31 -0.9591620 -0.9281307
## 32 -0.9608760 -0.9554758
## 33 -0.9684491 -0.9427951
## 34 -0.9642486 -0.9572050
## 35 -0.9335776 -0.9343788
## 36 -0.9129007 -0.9061964
## 37 -0.9555435 -0.9619090
## 38 -0.9454363 -0.8686025
## 39 -0.9661630 -0.9391610
## 40 -0.9694042 -0.9521598
## 41 -0.9526787 -0.9287565
## 42 -0.9397743 -0.8816759
## 43 -0.9579900 -0.9418363
## 44 -0.9374623 -0.9354753
## 45 -0.9589041 -0.9182939
## 46 -0.9567815 -0.9566401
## 47 -0.9415809 -0.8971900
## 48 -0.9310321 -0.8761689
## 49 -0.9699945 -0.9712047
## 50 -0.9464520 -0.8858541
## 51 -0.9725739 -0.9322453
## 52 -0.9712424 -0.9555240
## 53 -0.9363066 -0.8766413
## 54 -0.9013173 -0.8940711
## 55 -0.9667012 -0.9630456
## 56 -0.9356900 -0.9668985
## 57 -0.9754107 -0.9595797
## 58 -0.9711147 -0.9578627
## 59 -0.9370038 -0.9020852
## 60 -0.9370394 -0.8647458
## 61 -0.9907656 -0.9841926
## 62 -0.9497926 -0.9716616
## 63 -0.9810478 -0.9894333
## 64 -0.9662406 -0.9608527
## 65 -0.9263105 -0.9258149
## 66 -0.9243608 -0.9069332
## 67 -0.9743965 -0.9596440
## 68 -0.9636420 -0.9562086
## 69 -0.9704826 -0.9395341
## 70 -0.9646192 -0.9502762
## 71 -0.9432984 -0.9353993
## 72 -0.9413784 -0.9380712
## 73 -0.9759481 -0.9598929
## 74 -0.9513531 -0.9309796
## 75 -0.9746812 -0.9768272
## 76 -0.9608998 -0.9486376
## 77 -0.9285444 -0.8939630
## 78 -0.9220550 -0.9102711
## 79 -0.9487749 -0.9013039
## 80 -0.9503227 -0.9384157
## 81 -0.9657810 -0.9407577
## 82 -0.9544559 -0.9475170
## 83 -0.9207259 -0.8795653
## 84 -0.9072314 -0.8754508
## 85 -0.9860362 -0.9507104
## 86 -0.9435614 -0.9529737
## 87 -0.9656880 -0.9588102
## 88 -0.9710565 -0.9580588
## 89 -0.9256859 -0.9340083
## 90 -0.9276488 -0.9216185
## 91 -0.9660871 -0.9678860
## 92 -0.9680232 -0.9458136
## 93 -0.9805524 -0.9595628
## 94 -0.9737848 -0.9613873
## 95 -0.9554878 -0.9105889
## 96 -0.9336575 -0.9076496
## 97 -0.9614667 -0.9571646
## 98 -0.9667201 -0.9566106
## 99 -0.9758105 -0.9691718
## 100 -0.9686132 -0.9569032
## 101 -0.9465767 -0.9010978
## 102 -0.9159735 -0.9301598
## 103 -0.9940935 -0.9909572
## 104 -0.9840355 -0.9783402
## 105 -0.9813359 -0.9760443
## 106 -0.9753117 -0.9724838
## 107 -0.9329622 -0.9216617
## 108 -0.9420569 -0.9078397
## 109 -0.9869931 -0.9888190
## 110 -0.9699698 -0.9603950
## 111 -0.9714266 -0.9588620
## 112 -0.9586512 -0.9291879
## 113 -0.9178809 -0.8993631
## 114 -0.9010449 -0.8369357
## 115 -0.9760185 -0.9765186
## 116 -0.9669835 -0.9358550
## 117 -0.9574627 -0.9424373
## 118 -0.9620034 -0.9538504
## 119 -0.9085772 -0.9196935
## 120 -0.9245944 -0.9040641
## 121 -0.9837329 -0.9524163
## 122 -0.9793554 -0.9654265
## 123 -0.9776814 -0.9585900
## 124 -0.9641445 -0.9749394
## 125 -0.9401118 -0.9163246
## 126 -0.9415236 -0.9327163
## 127 -0.9588269 -0.9524354
## 128 -0.9542250 -0.9279506
## 129 -0.9710807 -0.9588902
## 130 -0.9636393 -0.9551478
## 131 -0.9458244 -0.9065940
## 132 -0.9416202 -0.9131536
## 133 -0.9827946 -0.9767805
## 134 -0.9609174 -0.9239536
## 135 -0.9848186 -0.9471997
## 136 -0.9665507 -0.9329813
## 137 -0.9390125 -0.9058883
## 138 -0.9104746 -0.9020659
## 139 -0.9934544 -0.9792397
## 140 -0.9716925 -0.9634068
## 141 -0.9681554 -0.9461849
## 142 -0.9625788 -0.9628230
## 143 -0.9414790 -0.9422077
## 144 -0.9166908 -0.9349529
## 145 -0.6435784 -0.6101612
## 146 -0.9634150 -0.9694600
## 147 -0.9806430 -0.9677926
## 148 -0.9650934 -0.9449957
## 149 -0.9378160 -0.9261917
## 150 -0.9317583 -0.8827224
## 151 -0.9878880 -0.9840817
## 152 -0.9492867 -0.9445809
## 153 -0.9669864 -0.9642285
## 154 -0.9690403 -0.9662316
## 155 -0.9354259 -0.9330818
## 156 -0.9378582 -0.9296368
## 157 -0.9937017 -0.9890563
## 158 -0.9825533 -0.9672681
## 159 -0.9796411 -0.9681700
## 160 -0.9737930 -0.9565935
## 161 -0.9349640 -0.9209215
## 162 -0.9477134 -0.9266754
## 163 -0.9697590 -0.9791247
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## 165 -0.9628014 -0.9517822
## 166 -0.9687809 -0.9442250
## 167 -0.9484042 -0.9170597
## 168 -0.9276411 -0.9005140
## 169 -0.9942476 -0.9857782
## 170 -0.9736043 -0.9660320
## 171 -0.9851340 -0.9844645
## 172 -0.9752728 -0.9459814
## 173 -0.9139031 -0.8693009
## 174 -0.9230078 -0.8588495
## 175 -0.9889307 -0.9832745
## 176 -0.9593613 -0.9566357
## 177 -0.9581458 -0.9492074
## 178 -0.9701766 -0.9439584
## 179 -0.9186788 -0.8776671
## 180 -0.9149339 -0.8624028
## TimedomainbodyAccelerationJerk.std...X
## 1 -0.958482112
## 2 -0.986430711
## 3 -0.994604542
## 4 -0.113615602
## 5 -0.012283861
## 6 -0.446843888
## 7 -0.985872169
## 8 -0.988055854
## 9 -0.981085716
## 10 -0.277530463
## 11 0.147249143
## 12 -0.276121886
## 13 -0.980879315
## 14 -0.974467390
## 15 -0.957086489
## 16 -0.268679644
## 17 -0.085801004
## 18 -0.458364617
## 19 -0.978302781
## 20 -0.976742196
## 21 -0.972586542
## 22 -0.297042613
## 23 -0.145759709
## 24 -0.380488027
## 25 -0.983307862
## 26 -0.975204850
## 27 -0.962647080
## 28 -0.302891025
## 29 0.032241550
## 30 -0.223896564
## 31 -0.966341055
## 32 -0.969929476
## 33 -0.973132636
## 34 -0.132784767
## 35 0.165271071
## 36 -0.180301156
## 37 -0.980977756
## 38 -0.982158098
## 39 -0.976403545
## 40 -0.346026226
## 41 0.028503393
## 42 -0.415153116
## 43 -0.973253042
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## 45 -0.989198880
## 46 -0.258688628
## 47 0.250143725
## 48 -0.186618895
## 49 -0.964740470
## 50 -0.964535856
## 51 -0.969973399
## 52 -0.206733788
## 53 0.017623342
## 54 -0.335291645
## 55 -0.978007467
## 56 -0.988946414
## 57 -0.964311490
## 58 -0.052199101
## 59 0.223275806
## 60 -0.187220176
## 61 -0.985259109
## 62 -0.980335164
## 63 -0.992527404
## 64 -0.428516344
## 65 -0.083421265
## 66 -0.452961684
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## 72 -0.359856972
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## 76 -0.220910068
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## 82 -0.454497020
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## 84 -0.368780419
## 85 -0.981739387
## 86 -0.988162334
## 87 -0.985459068
## 88 -0.373217585
## 89 0.134593836
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## 91 -0.988416724
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## 93 -0.991026497
## 94 -0.396223738
## 95 -0.101186927
## 96 -0.521089140
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## 98 -0.994340603
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## 105 -0.989436674
## 106 -0.368056914
## 107 -0.387223932
## 108 -0.563202135
## 109 -0.983605223
## 110 -0.987043285
## 111 -0.984792035
## 112 0.110306729
## 113 0.544273037
## 114 -0.174279056
## 115 -0.984270728
## 116 -0.982078229
## 117 -0.959528332
## 118 -0.090645042
## 119 -0.135699627
## 120 -0.185695388
## 121 -0.984826521
## 122 -0.989439392
## 123 -0.977063350
## 124 -0.114888874
## 125 0.002146557
## 126 -0.424052015
## 127 -0.970355192
## 128 -0.981664149
## 129 -0.975639081
## 130 0.035878709
## 131 0.086913985
## 132 -0.008539927
## 133 -0.986360447
## 134 -0.984561804
## 135 -0.983141959
## 136 -0.229328122
## 137 0.198947062
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## 140 -0.988564382
## 141 -0.980573837
## 142 -0.485863255
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## 144 -0.498764672
## 145 -0.973323412
## 146 -0.992278622
## 147 -0.988312658
## 148 -0.607620932
## 149 -0.501968388
## 150 -0.663642746
## 151 -0.989315825
## 152 -0.992258395
## 153 -0.990498355
## 154 -0.328452881
## 155 -0.128111641
## 156 -0.290879966
## 157 -0.986471899
## 158 -0.990658098
## 159 -0.987628362
## 160 -0.316184022
## 161 -0.003583389
## 162 -0.468066189
## 163 -0.980164717
## 164 -0.976286679
## 165 -0.968604560
## 166 -0.335700184
## 167 -0.016765223
## 168 -0.312671656
## 169 -0.992005989
## 170 -0.993525560
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## 172 -0.221433543
## 173 -0.023952574
## 174 -0.182365815
## 175 -0.977463776
## 176 -0.988864577
## 177 -0.968430745
## 178 -0.374400941
## 179 -0.226643901
## 180 -0.535420203
## TimedomainbodyAccelerationJerk.std...Y
## 1 -0.924149274
## 2 -0.981371965
## 3 -0.985648732
## 4 0.067002501
## 5 -0.101601391
## 6 -0.378274426
## 7 -0.983172541
## 8 -0.977983955
## 9 -0.971059440
## 10 -0.016602236
## 11 0.126828015
## 12 -0.185648954
## 13 -0.968710725
## 14 -0.953631391
## 15 -0.941686786
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## 20 -0.944596106
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## 24 -0.281543175
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## 112 0.080927119
## 113 0.355306717
## 114 -0.012886548
## 115 -0.977002607
## 116 -0.970896863
## 117 -0.935605651
## 118 0.244310894
## 119 0.289670967
## 120 -0.260789712
## 121 -0.971584753
## 122 -0.979002805
## 123 -0.963921458
## 124 -0.034714386
## 125 -0.079600976
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## 134 -0.978045838
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## 152 -0.986215216
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## 157 -0.985159462
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## 159 -0.975829725
## 160 -0.104090459
## 161 -0.138528104
## 162 -0.426833499
## 163 -0.978679540
## 164 -0.962219453
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## 166 -0.220123121
## 167 0.026553013
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## 176 -0.980420928
## 177 -0.957318881
## 178 -0.270709274
## 179 -0.194656097
## 180 -0.587214543
## TimedomainbodyAccelerationJerk.std...Z
## 1 -0.95485511
## 2 -0.98791080
## 3 -0.99225118
## 4 -0.50269979
## 5 -0.34573503
## 6 -0.70659353
## 7 -0.98844201
## 8 -0.98751821
## 9 -0.98284145
## 10 -0.58609042
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## 12 -0.57374635
## 13 -0.98209316
## 14 -0.97466157
## 15 -0.97305963
## 16 -0.52948612
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## 20 -0.97903877
## 21 -0.97305420
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## 25 -0.98541937
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## 27 -0.96383212
## 28 -0.61289532
## 29 -0.52265164
## 30 -0.63836903
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## 34 -0.57577747
## 35 -0.33681732
## 36 -0.56083069
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## 53 -0.35951336
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## 86 -0.98701102
## 87 -0.98530194
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## 110 -0.98670474
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## 138 -0.40809402
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## 143 -0.29023938
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## 180 -0.76194203
## TimedomainbodyAngularvelocity.std...X TimedomainbodyAngularvelocity.std...Y
## 1 -0.8735439 -0.951090440
## 2 -0.9772113 -0.966473895
## 3 -0.9871919 -0.987734440
## 4 -0.4735355 -0.054607769
## 5 -0.4580305 -0.126349195
## 6 -0.5448711 0.004105184
## 7 -0.9882752 -0.982291609
## 8 -0.9857420 -0.978919527
## 9 -0.9729986 -0.971441996
## 10 -0.5615503 -0.538453668
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## 15 -0.9004622 -0.927788618
## 16 -0.5718696 -0.563793260
## 17 -0.2616534 -0.546740388
## 18 -0.4560393 -0.582742846
## 19 -0.9731024 -0.961109292
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## 70 -0.5462635 -0.449401398
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## 78 -0.5410667 -0.403572170
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## 82 -0.6003882 -0.014839260
## 83 -0.3545516 0.056990222
## 84 -0.4542833 0.476518714
## 85 -0.9571677 -0.961142912
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## 113 0.2676572 0.048314774
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## 116 -0.9763090 -0.960104509
## 117 -0.8867492 -0.903913941
## 118 -0.2329406 0.085832152
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## 155 -0.3313129 -0.473408050
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## 160 -0.6068602 -0.529865058
## 161 -0.3637229 -0.481813368
## 162 -0.5624610 -0.587966801
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## 164 -0.9796720 -0.956316506
## 165 -0.8840322 -0.940006320
## 166 -0.5037986 -0.497684007
## 167 -0.2681063 -0.259368687
## 168 -0.5188182 -0.479319521
## 169 -0.9942766 -0.992750958
## 170 -0.9901787 -0.988334020
## 171 -0.9779948 -0.990364876
## 172 -0.5988687 -0.181802637
## 173 -0.2820773 -0.390460138
## 174 -0.3239047 0.046110305
## 175 -0.9736628 -0.966041673
## 176 -0.9881327 -0.976477562
## 177 -0.9114085 -0.940705412
## 178 -0.3879206 0.006002779
## 179 -0.2659232 -0.285392416
## 180 -0.4938375 -0.084048151
## TimedomainbodyAngularvelocity.std...Z
## 1 -0.90828466
## 2 -0.94142592
## 3 -0.98064563
## 4 -0.34426663
## 5 -0.12470245
## 6 -0.50716867
## 7 -0.96030656
## 8 -0.95980371
## 9 -0.96485670
## 10 -0.48108554
## 11 -0.27941839
## 12 -0.16399579
## 13 -0.96350561
## 14 -0.92641371
## 15 -0.91236408
## 16 -0.47669641
## 17 -0.44230777
## 18 -0.49232731
## 19 -0.96207376
## 20 -0.92797223
## 21 -0.90999504
## 22 -0.66260823
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## 24 -0.36081105
## 25 -0.96058378
## 26 -0.94063794
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## 29 -0.22786904
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## 87 -0.96816705
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## 89 -0.25064809
## 90 -0.47736595
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## 125 -0.34975949
## 126 0.05171554
## 127 -0.93325187
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## 133 -0.98392013
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## 136 -0.20963489
## 137 -0.20870249
## 138 -0.03173012
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## 141 -0.96995868
## 142 -0.39615400
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## 148 -0.56277525
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## 160 -0.25012041
## 161 -0.25784616
## 162 -0.16996079
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## 165 -0.92549144
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## 167 -0.30702501
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## 169 -0.97499462
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## 172 -0.43023244
## 173 -0.31112262
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## 176 -0.95505320
## 177 -0.93083468
## 178 -0.18256965
## 179 -0.29537036
## 180 -0.21157358
## TimedomainbodyAngularvelocityJerk.std...X
## 1 -0.91860852
## 2 -0.99173159
## 3 -0.99294511
## 4 -0.20742185
## 5 -0.48702734
## 6 -0.61478651
## 7 -0.99323585
## 8 -0.98970902
## 9 -0.97932400
## 10 -0.38954983
## 11 -0.24394059
## 12 -0.46485436
## 13 -0.98032865
## 14 -0.97254691
## 15 -0.94093764
## 16 -0.38592299
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## 18 -0.50727076
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## 26 -0.96603701
## 27 -0.94193004
## 28 -0.35768140
## 29 -0.41130222
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## 35 0.03933880
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## 90 -0.52553395
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## 94 -0.67588972
## 95 -0.62367602
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## 98 -0.99525594
## 99 -0.98925720
## 100 -0.43129615
## 101 -0.52680183
## 102 -0.60604434
## 103 -0.99610444
## 104 -0.99417019
## 105 -0.98197097
## 106 -0.57813397
## 107 -0.67671618
## 108 -0.76068903
## 109 -0.97610566
## 110 -0.98846475
## 111 -0.97512669
## 112 0.08011865
## 113 0.17914865
## 114 -0.23937641
## 115 -0.98928358
## 116 -0.97741491
## 117 -0.92164424
## 118 -0.25322745
## 119 -0.24923510
## 120 -0.47110768
## 121 -0.98464372
## 122 -0.98947297
## 123 -0.97186649
## 124 -0.23890831
## 125 -0.54964832
## 126 -0.57354184
## 127 -0.97209260
## 128 -0.98567125
## 129 -0.94971603
## 130 -0.22665640
## 131 -0.26484805
## 132 -0.39669922
## 133 -0.98502785
## 134 -0.98708463
## 135 -0.97277070
## 136 -0.36396943
## 137 -0.32301570
## 138 -0.54831888
## 139 -0.97986572
## 140 -0.99144201
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## 143 -0.35844455
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## 146 -0.99230465
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## 148 -0.50795709
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## 155 -0.17084268
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## 157 -0.99350372
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## 159 -0.98264245
## 160 -0.52325688
## 161 -0.49383761
## 162 -0.69577495
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## 165 -0.92834340
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## 169 -0.99654254
## 170 -0.99332203
## 171 -0.98329306
## 172 -0.39590962
## 173 -0.34780756
## 174 -0.47493261
## 175 -0.98377583
## 176 -0.99386855
## 177 -0.96011907
## 178 -0.46034539
## 179 -0.54276451
## 180 -0.74274953
## TimedomainbodyAngularvelocityJerk.std...Y
## 1 -0.96790724
## 2 -0.98951807
## 3 -0.99513792
## 4 -0.30446851
## 5 -0.23882483
## 6 -0.60169666
## 7 -0.98956754
## 8 -0.99088961
## 9 -0.98344726
## 10 -0.63414044
## 11 -0.46939670
## 12 -0.64549134
## 13 -0.98676274
## 14 -0.97863591
## 15 -0.96843375
## 16 -0.63908798
## 17 -0.68094734
## 18 -0.77577414
## 19 -0.98685563
## 20 -0.98444136
## 21 -0.97606517
## 22 -0.80741994
## 23 -0.81685824
## 24 -0.84072275
## 25 -0.98375948
## 26 -0.97543391
## 27 -0.96117774
## 28 -0.57143812
## 29 -0.51459149
## 30 -0.63182205
## 31 -0.95862882
## 32 -0.96178073
## 33 -0.96242216
## 34 -0.41639025
## 35 -0.19350841
## 36 -0.48649412
## 37 -0.97648373
## 38 -0.98102468
## 39 -0.97683776
## 40 -0.17413641
## 41 -0.29952021
## 42 -0.67124374
## 43 -0.97418645
## 44 -0.98887628
## 45 -0.98550877
## 46 -0.42805570
## 47 -0.07045265
## 48 -0.42467567
## 49 -0.96217024
## 50 -0.97192745
## 51 -0.97503653
## 52 -0.54920023
## 53 -0.44860245
## 54 -0.70860477
## 55 -0.96662104
## 56 -0.99258449
## 57 -0.97644502
## 58 -0.50968333
## 59 -0.47165098
## 60 -0.60462906
## 61 -0.99084572
## 62 -0.98855482
## 63 -0.99557163
## 64 -0.73799376
## 65 -0.68459332
## 66 -0.80945944
## 67 -0.96590037
## 68 -0.97934783
## 69 -0.97119549
## 70 -0.58129069
## 71 -0.51747911
## 72 -0.76119561
## 73 -0.97885475
## 74 -0.99177335
## 75 -0.98098266
## 76 -0.35776090
## 77 -0.25916325
## 78 -0.67880592
## 79 -0.96804289
## 80 -0.98691132
## 81 -0.97069296
## 82 -0.53673770
## 83 -0.28431802
## 84 -0.37147972
## 85 -0.98048283
## 86 -0.99031331
## 87 -0.98810741
## 88 -0.70240294
## 89 -0.57496412
## 90 -0.76305351
## 91 -0.98904658
## 92 -0.99062179
## 93 -0.99258944
## 94 -0.71223775
## 95 -0.58342178
## 96 -0.77471907
## 97 -0.98313560
## 98 -0.99498188
## 99 -0.99369991
## 100 -0.56020349
## 101 -0.57214473
## 102 -0.67672285
## 103 -0.99054764
## 104 -0.99422416
## 105 -0.99115197
## 106 -0.69492579
## 107 -0.75260862
## 108 -0.82887217
## 109 -0.98460773
## 110 -0.98746592
## 111 -0.98809667
## 112 -0.29159483
## 113 -0.01462992
## 114 -0.49212222
## 115 -0.98154006
## 116 -0.97968410
## 117 -0.94763307
## 118 -0.12755409
## 119 -0.33456879
## 120 -0.39398862
## 121 -0.98199850
## 122 -0.98972266
## 123 -0.97681589
## 124 -0.48285431
## 125 -0.44242684
## 126 -0.60446960
## 127 -0.98048417
## 128 -0.98027562
## 129 -0.98490013
## 130 -0.65187547
## 131 -0.64028007
## 132 -0.70425541
## 133 -0.97942776
## 134 -0.98072745
## 135 -0.97250952
## 136 0.29594593
## 137 0.14665012
## 138 -0.49351412
## 139 -0.97809131
## 140 -0.98978081
## 141 -0.98198357
## 142 -0.51424657
## 143 -0.51932674
## 144 -0.64664437
## 145 -0.97156432
## 146 -0.99131577
## 147 -0.98724214
## 148 -0.79963538
## 149 -0.81044454
## 150 -0.83969914
## 151 -0.98906334
## 152 -0.99313983
## 153 -0.98976699
## 154 -0.58700011
## 155 -0.54719844
## 156 -0.72521029
## 157 -0.99302588
## 158 -0.99222644
## 159 -0.99079801
## 160 -0.63410550
## 161 -0.45945930
## 162 -0.71114844
## 163 -0.98039978
## 164 -0.98071387
## 165 -0.97297701
## 166 -0.63901855
## 167 -0.42456788
## 168 -0.69057110
## 169 -0.99708158
## 170 -0.99531916
## 171 -0.99553311
## 172 -0.58794430
## 173 -0.69346904
## 174 -0.73422519
## 175 -0.98035706
## 176 -0.99249132
## 177 -0.96813501
## 178 -0.49762180
## 179 -0.61379630
## 180 -0.74333696
## TimedomainbodyAngularvelocityJerk.std...Z
## 1 -0.957790160
## 2 -0.987935806
## 3 -0.992108467
## 4 -0.404255453
## 5 -0.268761480
## 6 -0.606332002
## 7 -0.988035821
## 8 -0.985542326
## 9 -0.973610118
## 10 -0.435492677
## 11 -0.218266319
## 12 -0.467595961
## 13 -0.983338280
## 14 -0.973751671
## 15 -0.958293012
## 16 -0.536664080
## 17 -0.374605412
## 18 -0.573433948
## 19 -0.983965360
## 20 -0.968804832
## 21 -0.957982019
## 22 -0.640454133
## 23 -0.325780074
## 24 -0.556236585
## 25 -0.989679592
## 26 -0.964878513
## 27 -0.944755343
## 28 -0.157682544
## 29 -0.034421747
## 30 -0.282154378
## 31 -0.959579072
## 32 -0.958787671
## 33 -0.962758177
## 34 -0.166684422
## 35 0.193206499
## 36 -0.170814791
## 37 -0.988871878
## 38 -0.980954665
## 39 -0.978166791
## 40 -0.458302971
## 41 -0.425200372
## 42 -0.682184176
## 43 -0.987601204
## 44 -0.985241405
## 45 -0.989270901
## 46 -0.388446972
## 47 -0.189604443
## 48 -0.430366659
## 49 -0.977076160
## 50 -0.968738891
## 51 -0.969726484
## 52 -0.457881494
## 53 -0.417239551
## 54 -0.657114201
## 55 -0.983949303
## 56 -0.990259813
## 57 -0.969051031
## 58 -0.329079493
## 59 -0.227137390
## 60 -0.482244799
## 61 -0.986549063
## 62 -0.981016045
## 63 -0.990663219
## 64 -0.551079943
## 65 -0.480559153
## 66 -0.777173389
## 67 -0.969953930
## 68 -0.977138954
## 69 -0.973689390
## 70 -0.480642200
## 71 -0.365232197
## 72 -0.606412097
## 73 -0.989801549
## 74 -0.989861382
## 75 -0.985177043
## 76 -0.341765824
## 77 -0.367089486
## 78 -0.550880347
## 79 -0.979711373
## 80 -0.982819139
## 81 -0.974687866
## 82 -0.497187688
## 83 0.091385755
## 84 -0.359816627
## 85 -0.980112733
## 86 -0.987937203
## 87 -0.981293118
## 88 -0.591668608
## 89 -0.394542241
## 90 -0.657907649
## 91 -0.994465158
## 92 -0.988364321
## 93 -0.992698523
## 94 -0.571264779
## 95 -0.540633469
## 96 -0.717101022
## 97 -0.988221713
## 98 -0.993841257
## 99 -0.992327099
## 100 -0.524422887
## 101 -0.542770647
## 102 -0.610586202
## 103 -0.992548102
## 104 -0.992814325
## 105 -0.986259016
## 106 -0.663259579
## 107 -0.605655411
## 108 -0.718951758
## 109 -0.986958364
## 110 -0.985310690
## 111 -0.983453911
## 112 -0.213494065
## 113 0.116646170
## 114 -0.375414983
## 115 -0.986670534
## 116 -0.979742084
## 117 -0.948669855
## 118 -0.227044327
## 119 0.003078546
## 120 -0.253867090
## 121 -0.988749496
## 122 -0.987954515
## 123 -0.975427259
## 124 -0.494927657
## 125 -0.428337693
## 126 -0.564149245
## 127 -0.978636302
## 128 -0.979544105
## 129 -0.979753572
## 130 -0.234278151
## 131 -0.358762129
## 132 -0.515697759
## 133 -0.994908985
## 134 -0.988130142
## 135 -0.984654516
## 136 -0.374456768
## 137 -0.367869640
## 138 -0.543765426
## 139 -0.992381596
## 140 -0.989850160
## 141 -0.983276883
## 142 -0.557968203
## 143 -0.478690941
## 144 -0.648975331
## 145 -0.974242255
## 146 -0.991491388
## 147 -0.980722294
## 148 -0.659576163
## 149 -0.599481998
## 150 -0.746268283
## 151 -0.993759842
## 152 -0.991929789
## 153 -0.985992503
## 154 -0.485543002
## 155 -0.358951638
## 156 -0.556390218
## 157 -0.993296721
## 158 -0.991766788
## 159 -0.988970357
## 160 -0.426346963
## 161 -0.307268262
## 162 -0.676876469
## 163 -0.981418916
## 164 -0.971001691
## 165 -0.956497164
## 166 -0.440927899
## 167 -0.336212734
## 168 -0.603568264
## 169 -0.995380795
## 170 -0.992833767
## 171 -0.990685705
## 172 -0.504130089
## 173 -0.379769406
## 174 -0.558417024
## 175 -0.980768875
## 176 -0.988124496
## 177 -0.970845671
## 178 -0.476208796
## 179 -0.498882854
## 180 -0.665150619
## TimedomainbodyAccelerationMagnitudesignals.std..
## 1 -0.79514486
## 2 -0.92707842
## 3 -0.98194293
## 4 -0.21968865
## 5 0.01988435
## 6 -0.32497093
## 7 -0.97287391
## 8 -0.95308144
## 9 -0.95787497
## 10 -0.42254417
## 11 0.21558633
## 12 -0.20597705
## 13 -0.96421818
## 14 -0.87030170
## 15 -0.91514330
## 16 -0.32842894
## 17 -0.04113401
## 18 -0.33359743
## 19 -0.93129222
## 20 -0.91440784
## 21 -0.89097668
## 22 -0.52767910
## 23 -0.08195590
## 24 -0.21201230
## 25 -0.95861279
## 26 -0.92093903
## 27 -0.87977380
## 28 -0.37717873
## 29 0.20542238
## 30 -0.13673638
## 31 -0.89732625
## 32 -0.93157266
## 33 -0.93931025
## 34 -0.26673417
## 35 0.37361191
## 36 -0.07915088
## 37 -0.90703951
## 38 -0.88195762
## 39 -0.93359016
## 40 -0.19855471
## 41 0.21454403
## 42 -0.33474461
## 43 -0.91325033
## 44 -0.92994362
## 45 -0.93718719
## 46 -0.18040728
## 47 0.13133787
## 48 -0.22720025
## 49 -0.91512680
## 50 -0.86375643
## 51 -0.93610501
## 52 -0.37942877
## 53 0.26512013
## 54 -0.40022204
## 55 -0.94030165
## 56 -0.93966959
## 57 -0.93726454
## 58 -0.18560240
## 59 0.15699821
## 60 -0.21153748
## 61 -0.97289183
## 62 -0.94458183
## 63 -0.98030537
## 64 -0.48773592
## 65 0.05077437
## 66 -0.28959215
## 67 -0.93654269
## 68 -0.94751710
## 69 -0.93523295
## 70 -0.23697287
## 71 0.09726083
## 72 -0.28584404
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## 75 -0.96851967
## 76 -0.29254638
## 77 -0.01560982
## 78 -0.32633962
## 79 -0.85659312
## 80 -0.92549583
## 81 -0.93673558
## 82 -0.36380563
## 83 0.42840592
## 84 -0.01976867
## 85 -0.94331411
## 86 -0.93797791
## 87 -0.94860043
## 88 -0.32387832
## 89 0.35320401
## 90 -0.13655222
## 91 -0.95789593
## 92 -0.94105124
## 93 -0.95729449
## 94 -0.47180927
## 95 0.11918374
## 96 -0.33479508
## 97 -0.94825799
## 98 -0.96506519
## 99 -0.97537731
## 100 -0.46183787
## 101 0.09140768
## 102 -0.10287773
## 103 -0.98646454
## 104 -0.98159529
## 105 -0.97228555
## 106 -0.46034647
## 107 -0.22993425
## 108 -0.37184157
## 109 -0.96319349
## 110 -0.95175566
## 111 -0.96254934
## 112 -0.09939272
## 113 0.41347238
## 114 -0.17766683
## 115 -0.93948944
## 116 -0.93776403
## 117 -0.91067209
## 118 -0.15693039
## 119 0.17263636
## 120 -0.19826972
## 121 -0.94218643
## 122 -0.97199425
## 123 -0.95691990
## 124 -0.29970975
## 125 0.26434190
## 126 -0.27847428
## 127 -0.90940776
## 128 -0.92433618
## 129 -0.93986632
## 130 -0.16159179
## 131 0.13326748
## 132 -0.15875747
## 133 -0.95787199
## 134 -0.92496326
## 135 -0.95166986
## 136 -0.20998935
## 137 0.23036396
## 138 -0.27189371
## 139 -0.96935483
## 140 -0.96377968
## 141 -0.94790101
## 142 -0.48106402
## 143 -0.02248391
## 144 -0.30685447
## 145 -0.64925477
## 146 -0.96000341
## 147 -0.96807563
## 148 -0.56560147
## 149 -0.25946525
## 150 -0.48000665
## 151 -0.96435519
## 152 -0.93360278
## 153 -0.96269730
## 154 -0.42184831
## 155 0.14700168
## 156 -0.15070711
## 157 -0.97892018
## 158 -0.96952667
## 159 -0.96636011
## 160 -0.40735579
## 161 0.12117628
## 162 -0.37994879
## 163 -0.95457403
## 164 -0.94778270
## 165 -0.91765833
## 166 -0.39269402
## 167 0.13546556
## 168 -0.21192867
## 169 -0.98157215
## 170 -0.96929032
## 171 -0.98174571
## 172 -0.26269506
## 173 0.13448115
## 174 -0.04146961
## 175 -0.96016791
## 176 -0.94290147
## 177 -0.91657044
## 178 -0.35987341
## 179 -0.01357712
## 180 -0.32741082
## TimedomaingravityAccelerationMagnitudesignals.std..
## 1 -0.79514486
## 2 -0.92707842
## 3 -0.98194293
## 4 -0.21968865
## 5 0.01988435
## 6 -0.32497093
## 7 -0.97287391
## 8 -0.95308144
## 9 -0.95787497
## 10 -0.42254417
## 11 0.21558633
## 12 -0.20597705
## 13 -0.96421818
## 14 -0.87030170
## 15 -0.91514330
## 16 -0.32842894
## 17 -0.04113401
## 18 -0.33359743
## 19 -0.93129222
## 20 -0.91440784
## 21 -0.89097668
## 22 -0.52767910
## 23 -0.08195590
## 24 -0.21201230
## 25 -0.95861279
## 26 -0.92093903
## 27 -0.87977380
## 28 -0.37717873
## 29 0.20542238
## 30 -0.13673638
## 31 -0.89732625
## 32 -0.93157266
## 33 -0.93931025
## 34 -0.26673417
## 35 0.37361191
## 36 -0.07915088
## 37 -0.90703951
## 38 -0.88195762
## 39 -0.93359016
## 40 -0.19855471
## 41 0.21454403
## 42 -0.33474461
## 43 -0.91325033
## 44 -0.92994362
## 45 -0.93718719
## 46 -0.18040728
## 47 0.13133787
## 48 -0.22720025
## 49 -0.91512680
## 50 -0.86375643
## 51 -0.93610501
## 52 -0.37942877
## 53 0.26512013
## 54 -0.40022204
## 55 -0.94030165
## 56 -0.93966959
## 57 -0.93726454
## 58 -0.18560240
## 59 0.15699821
## 60 -0.21153748
## 61 -0.97289183
## 62 -0.94458183
## 63 -0.98030537
## 64 -0.48773592
## 65 0.05077437
## 66 -0.28959215
## 67 -0.93654269
## 68 -0.94751710
## 69 -0.93523295
## 70 -0.23697287
## 71 0.09726083
## 72 -0.28584404
## 73 -0.94794475
## 74 -0.93793574
## 75 -0.96851967
## 76 -0.29254638
## 77 -0.01560982
## 78 -0.32633962
## 79 -0.85659312
## 80 -0.92549583
## 81 -0.93673558
## 82 -0.36380563
## 83 0.42840592
## 84 -0.01976867
## 85 -0.94331411
## 86 -0.93797791
## 87 -0.94860043
## 88 -0.32387832
## 89 0.35320401
## 90 -0.13655222
## 91 -0.95789593
## 92 -0.94105124
## 93 -0.95729449
## 94 -0.47180927
## 95 0.11918374
## 96 -0.33479508
## 97 -0.94825799
## 98 -0.96506519
## 99 -0.97537731
## 100 -0.46183787
## 101 0.09140768
## 102 -0.10287773
## 103 -0.98646454
## 104 -0.98159529
## 105 -0.97228555
## 106 -0.46034647
## 107 -0.22993425
## 108 -0.37184157
## 109 -0.96319349
## 110 -0.95175566
## 111 -0.96254934
## 112 -0.09939272
## 113 0.41347238
## 114 -0.17766683
## 115 -0.93948944
## 116 -0.93776403
## 117 -0.91067209
## 118 -0.15693039
## 119 0.17263636
## 120 -0.19826972
## 121 -0.94218643
## 122 -0.97199425
## 123 -0.95691990
## 124 -0.29970975
## 125 0.26434190
## 126 -0.27847428
## 127 -0.90940776
## 128 -0.92433618
## 129 -0.93986632
## 130 -0.16159179
## 131 0.13326748
## 132 -0.15875747
## 133 -0.95787199
## 134 -0.92496326
## 135 -0.95166986
## 136 -0.20998935
## 137 0.23036396
## 138 -0.27189371
## 139 -0.96935483
## 140 -0.96377968
## 141 -0.94790101
## 142 -0.48106402
## 143 -0.02248391
## 144 -0.30685447
## 145 -0.64925477
## 146 -0.96000341
## 147 -0.96807563
## 148 -0.56560147
## 149 -0.25946525
## 150 -0.48000665
## 151 -0.96435519
## 152 -0.93360278
## 153 -0.96269730
## 154 -0.42184831
## 155 0.14700168
## 156 -0.15070711
## 157 -0.97892018
## 158 -0.96952667
## 159 -0.96636011
## 160 -0.40735579
## 161 0.12117628
## 162 -0.37994879
## 163 -0.95457403
## 164 -0.94778270
## 165 -0.91765833
## 166 -0.39269402
## 167 0.13546556
## 168 -0.21192867
## 169 -0.98157215
## 170 -0.96929032
## 171 -0.98174571
## 172 -0.26269506
## 173 0.13448115
## 174 -0.04146961
## 175 -0.96016791
## 176 -0.94290147
## 177 -0.91657044
## 178 -0.35987341
## 179 -0.01357712
## 180 -0.32741082
## TimedomainbodyAccelerationJerkMagnitudesignals.std..
## 1 -0.92824563
## 2 -0.98412002
## 3 -0.99309621
## 4 -0.07447175
## 5 -0.02578772
## 6 -0.47899162
## 7 -0.98551808
## 8 -0.98447587
## 9 -0.97667528
## 10 -0.16415099
## 11 0.22961719
## 12 -0.21738939
## 13 -0.97612130
## 14 -0.96655008
## 15 -0.94877004
## 16 -0.13991636
## 17 -0.09263245
## 18 -0.43902059
## 19 -0.96078643
## 20 -0.96254911
## 21 -0.95815948
## 22 -0.31691896
## 23 -0.21685892
## 24 -0.43726148
## 25 -0.97747715
## 26 -0.96575773
## 27 -0.94296205
## 28 -0.28224228
## 29 -0.02925705
## 30 -0.31018655
## 31 -0.95034193
## 32 -0.94818183
## 33 -0.95609915
## 34 -0.07060296
## 35 0.20950217
## 36 -0.16997036
## 37 -0.96731093
## 38 -0.97024327
## 39 -0.96856636
## 40 -0.02755733
## 41 0.09018363
## 42 -0.47126571
## 43 -0.96295452
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## 47 0.25340826
## 48 -0.22829636
## 49 -0.95502681
## 50 -0.95178024
## 51 -0.96376418
## 52 -0.31711349
## 53 0.03990782
## 54 -0.44548540
## 55 -0.96755698
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## 64 -0.40314128
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## 76 -0.13178853
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## 175 -0.96964229
## 176 -0.98605764
## 177 -0.95076227
## 178 -0.35375102
## 179 -0.12528318
## 180 -0.56183771
## TimedomainbodyAngularvelocityMagnitudesignals.std..
## 1 -0.81901017
## 2 -0.93453184
## 3 -0.97869003
## 4 -0.18697836
## 5 -0.22572437
## 6 -0.14861932
## 7 -0.96116405
## 8 -0.96131362
## 9 -0.95394338
## 10 -0.55301992
## 11 -0.27484411
## 12 -0.37753217
## 13 -0.95427511
## 14 -0.92551810
## 15 -0.88212522
## 16 -0.56151068
## 17 -0.24579470
## 18 -0.40888665
## 19 -0.94703178
## 20 -0.92889829
## 21 -0.88514432
## 22 -0.55311611
## 23 -0.38057263
## 24 -0.51097413
## 25 -0.95828792
## 26 -0.93141481
## 27 -0.86704171
## 28 -0.49217682
## 29 -0.36067831
## 30 -0.35468787
## 31 -0.92091450
## 32 -0.92125947
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## 36 -0.19989371
## 37 -0.91866246
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## 42 -0.41814485
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## 47 -0.04662919
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## 88 -0.42579847
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## 99 -0.97768084
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## 101 -0.35268728
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## 115 -0.96215360
## 116 -0.94106991
## 117 -0.84368341
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## 175 -0.95126444
## 176 -0.96064129
## 177 -0.88724764
## 178 -0.26684573
## 179 -0.20826754
## 180 -0.16929353
## TimedomainbodyAngularvelocityJerkMagnitudesignals.std..
## 1 -0.93584098
## 2 -0.98830873
## 3 -0.99473324
## 4 -0.32532488
## 5 -0.30651065
## 6 -0.64855304
## 7 -0.98971810
## 8 -0.98959492
## 9 -0.97720443
## 10 -0.55779815
## 11 -0.34318788
## 12 -0.59729172
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## 14 -0.97677268
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## 18 -0.71802804
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## 95 -0.59582221
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## 134 -0.97922700
## 135 -0.97238737
## 136 0.25017320
## 137 0.05949085
## 138 -0.55127519
## 139 -0.97865910
## 140 -0.99072453
## 141 -0.97999572
## 142 -0.55602277
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## 160 -0.61871863
## 161 -0.46580753
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## 164 -0.97844192
## 165 -0.95626648
## 166 -0.57986119
## 167 -0.40713234
## 168 -0.67013212
## 169 -0.99766607
## 170 -0.99490534
## 171 -0.99145363
## 172 -0.61222294
## 173 -0.59705705
## 174 -0.71284632
## 175 -0.97617714
## 176 -0.99128023
## 177 -0.95599567
## 178 -0.54697727
## 179 -0.61766207
## 180 -0.77443910
## domainbodyfrequencyAcceleration.std...X
## 1 -0.924437435
## 2 -0.976412313
## 3 -0.996028345
## 4 -0.319134720
## 5 0.024330839
## 6 -0.337428189
## 7 -0.973246482
## 8 -0.987362090
## 9 -0.989056470
## 10 -0.457651384
## 11 0.016104620
## 12 -0.320582414
## 13 -0.983691129
## 14 -0.971605878
## 15 -0.969931287
## 16 -0.379276781
## 17 -0.065441719
## 18 -0.285333024
## 19 -0.952464881
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## 23 0.039009826
## 24 -0.173217219
## 25 -0.964953894
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## 28 -0.297517355
## 29 0.336554725
## 30 -0.004738197
## 31 -0.932462941
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## 34 -0.345227690
## 35 0.403369767
## 36 -0.021133563
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## 40 -0.322034908
## 41 0.073011080
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## 53 0.250488759
## 54 -0.369815777
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## 58 -0.206366497
## 59 0.324957743
## 60 -0.171957349
## 61 -0.985322212
## 62 -0.983389810
## 63 -0.995573763
## 64 -0.433703312
## 65 0.179906764
## 66 -0.198733656
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## 83 0.014082609
## 84 -0.304980248
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## 88 -0.332520627
## 89 0.466325681
## 90 -0.008382438
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## 93 -0.989100621
## 94 -0.409070488
## 95 0.266115492
## 96 -0.369636141
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## 99 -0.991318528
## 100 -0.304806274
## 101 0.258941676
## 102 -0.035538117
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## 104 -0.994906566
## 105 -0.992789068
## 106 -0.378068199
## 107 -0.285535872
## 108 -0.350639841
## 109 -0.962085001
## 110 -0.975204245
## 111 -0.991161671
## 112 -0.057882079
## 113 0.658506543
## 114 -0.119934775
## 115 -0.960997907
## 116 -0.983978375
## 117 -0.969806179
## 118 -0.234985644
## 119 0.113033424
## 120 -0.108444760
## 121 -0.950929451
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## 123 -0.982892837
## 124 -0.308547185
## 125 0.266987751
## 126 -0.213184048
## 127 -0.945656808
## 128 -0.978623190
## 129 -0.987400306
## 130 0.024395819
## 131 0.402891960
## 132 0.132048813
## 133 -0.952410958
## 134 -0.988345258
## 135 -0.986333386
## 136 -0.329807280
## 137 -0.028296248
## 138 -0.234309548
## 139 -0.965167082
## 140 -0.991100005
## 141 -0.988851853
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## 143 -0.034908595
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## 148 -0.591449956
## 149 -0.213028874
## 150 -0.437975787
## 151 -0.967971891
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## 153 -0.993702408
## 154 -0.347997926
## 155 0.226783844
## 156 -0.142843838
## 157 -0.977615703
## 158 -0.988659196
## 159 -0.992875825
## 160 -0.365256349
## 161 0.194912717
## 162 -0.253504066
## 163 -0.967324864
## 164 -0.984956709
## 165 -0.980267490
## 166 -0.298832423
## 167 0.137797083
## 168 -0.233726644
## 169 -0.983432309
## 170 -0.990617521
## 171 -0.996604570
## 172 -0.190355977
## 173 0.187438624
## 174 -0.079062531
## 175 -0.977045261
## 176 -0.983231005
## 177 -0.980426576
## 178 -0.344928112
## 179 -0.040525709
## 180 -0.326260358
## domainbodyfrequencyAcceleration.std...Y
## 1 -0.833625556
## 2 -0.917275006
## 3 -0.972293102
## 4 0.056040007
## 5 -0.112963740
## 6 0.021769511
## 7 -0.981025106
## 8 -0.950073754
## 9 -0.957908842
## 10 -0.169219686
## 11 0.171973973
## 12 0.084880279
## 13 -0.964094604
## 14 -0.849655658
## 15 -0.892434349
## 16 -0.124030832
## 17 -0.109722354
## 18 -0.008039875
## 19 -0.946380971
## 20 -0.889467349
## 21 -0.857380282
## 22 -0.101799451
## 23 -0.322531318
## 24 -0.101434446
## 25 -0.972909187
## 26 -0.902291530
## 27 -0.867933178
## 28 0.042602683
## 29 0.026826988
## 30 0.165037631
## 31 -0.929711220
## 32 -0.925676956
## 33 -0.921449111
## 34 0.101699642
## 35 0.283247838
## 36 0.159123777
## 37 -0.922917902
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## 40 -0.143721823
## 41 -0.190187141
## 42 -0.341025553
## 43 -0.931236757
## 44 -0.923829969
## 45 -0.936231723
## 46 0.324844931
## 47 0.232184078
## 48 0.305401460
## 49 -0.912836751
## 50 -0.867613607
## 51 -0.938790017
## 52 -0.223972559
## 53 -0.273561385
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## 64 -0.096606829
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## 71 0.016749510
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## 74 -0.933666503
## 75 -0.947179813
## 76 0.092196893
## 77 -0.092444417
## 78 0.114656710
## 79 -0.905221049
## 80 -0.911591208
## 81 -0.926055903
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## 83 0.293633900
## 84 0.356072772
## 85 -0.964590430
## 86 -0.919162700
## 87 -0.930286443
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## domainbodyfrequencyAcceleration.std...Z
## 1 -0.81289156
## 2 -0.93446956
## 3 -0.97793726
## 4 -0.27968675
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## 6 0.08595655
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## domainbodyfrequencyAccelerationJerk.std...X
## 1 -0.964160709
## 2 -0.987492994
## 3 -0.995073759
## 4 -0.133586606
## 5 -0.086327897
## 6 -0.461907026
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## domainbodyfrequencyAccelerationJerk.std...Y
## 1 -0.932217870
## 2 -0.982513910
## 3 -0.987018227
## 4 0.106739857
## 5 -0.134580009
## 6 -0.381777065
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## domainbodyfrequencyAccelerationJerk.std...Z
## 1 -0.960586987
## 2 -0.988339185
## 3 -0.992349818
## 4 -0.534713440
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## 180 -0.784753880
## domainbodyfrequencyAngularvelocity.std...X
## 1 -0.8822965
## 2 -0.9779042
## 3 -0.9874971
## 4 -0.5166919
## 5 -0.4954225
## 6 -0.5658925
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## 178 -0.3990323
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## 180 -0.5034842
## domainbodyfrequencyAngularvelocity.std...Y
## 1 -0.95123205
## 2 -0.96234504
## 3 -0.98710773
## 4 -0.03350816
## 5 -0.18141473
## 6 0.15153891
## 7 -0.98191062
## 8 -0.97735619
## 9 -0.97103605
## 10 -0.53304695
## 11 -0.45873275
## 12 -0.45975849
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## 15 -0.92312594
## 16 -0.56888867
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## 178 0.09554560
## 179 -0.25573205
## 180 0.04495455
## domainbodyfrequencyAngularvelocity.std...Z
## 1 -0.91658251
## 2 -0.94391784
## 3 -0.98234533
## 4 -0.43656223
## 5 -0.23844357
## 6 -0.57170784
## 7 -0.96317422
## 8 -0.96352266
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## domainbodyfrequencyAccelerationMagnitudesignals.std..
## 1 -0.7983009404
## 2 -0.9284448017
## 3 -0.9823138047
## 4 -0.3980325868
## 5 -0.1865303011
## 6 -0.4162601015
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## 3 -0.97846607
## 4 -0.32101795
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## domainbodyfrequencyBodyAngularvelocityJerkMagnitudesignals.std..
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