Created by
Rischan Mafrur
Chonnam National University of South Korea
August 6, 2014
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 3.1.1
library(scales)
setwd('C:/Users/rischan/Dropbox/RESEARCH/magno/data/nexus/1_jalan_masuk_7_9')
setwd('C:/Users/rischan/Dropbox/RESEARCH/magno/data/note II/1_masuk_jalan_7_9')
acc <- read.csv(file="Sensor_record_20140709_150401_AndroSensor.csv")
Show the sample data
head(acc)
## ACCELEROMETER.X..m.s². ACCELEROMETER.Y..m.s². ACCELEROMETER.Z..m.s².
## 1 -1.33118 3.036 10.822
## 2 0.93853 2.327 8.475
## 3 -1.43652 3.764 9.730
## 4 -1.43652 3.764 9.730
## 5 -0.04788 3.505 10.467
## 6 0.18196 2.614 8.274
## GRAVITY.X..m.s². GRAVITY.Y..m.s². GRAVITY.Z..m.s².
## 1 -0.9011 3.390 9.158
## 2 -0.3275 3.157 9.279
## 3 -0.5291 3.389 9.187
## 4 -0.5291 3.389 9.187
## 5 -0.3694 3.043 9.315
## 6 -0.3694 3.043 9.315
## LINEAR.ACCELERATION.X..m.s². LINEAR.ACCELERATION.Y..m.s².
## 1 0.01124 -0.4447
## 2 1.02908 -1.0927
## 3 1.02908 -1.0927
## 4 0.92815 -0.1875
## 5 0.92815 -0.1875
## 6 -0.07806 -0.2525
## LINEAR.ACCELERATION.Z..m.s². GYROSCOPE.X..rad.s. GYROSCOPE.Y..rad.s.
## 1 1.384 -0.2605 -0.9490
## 2 -1.353 -0.2605 -0.9490
## 3 -1.353 0.3567 0.5238
## 4 2.500 0.3567 0.5238
## 5 2.500 0.5012 -0.4221
## 6 -1.100 0.5012 -0.4221
## GYROSCOPE.Z..rad.s. LIGHT..lux. MAGNETIC.FIELD.X..Î.T.
## 1 0.1811 20 -8.76
## 2 0.1811 20 -11.94
## 3 -0.6637 20 -11.94
## 4 -0.6637 20 -12.48
## 5 -0.5959 20 -12.48
## 6 -0.5959 0 -9.96
## MAGNETIC.FIELD.Y..Î.T. MAGNETIC.FIELD.Z..Î.T. ORIENTATION.X..Â..
## 1 -38.46 -19.26 156.9
## 2 -37.98 -19.62 156.9
## 3 -37.98 -19.62 156.9
## 4 -38.34 -19.98 155.6
## 5 -38.34 -19.98 155.6
## 6 -39.18 -20.64 160.6
## ORIENTATION.Y..Â.. ORIENTATION.Z..Â.. PROXIMITY..i. LOCATION.Latitude..
## 1 -22.28 10.159 8 35.18
## 2 -22.28 10.159 8 35.18
## 3 -22.28 10.159 8 35.18
## 4 -20.22 3.296 8 35.18
## 5 -20.22 3.296 8 35.18
## 6 -18.08 2.271 8 35.18
## LOCATION.Longitude.. LOCATION.Accuracy...m. Temperature..F. Level....
## 1 126.9 100.5 90.5 68
## 2 126.9 100.5 90.5 68
## 3 126.9 100.5 90.5 68
## 4 126.9 100.5 90.5 68
## 5 126.9 100.5 90.5 68
## 6 126.9 100.5 90.5 68
## Voltage..Volt. Time.since.start.in.ms YYYY.MO.DD.HH.MI.SS_SSS
## 1 3.882 15 2014-07-09 15:03:33:252
## 2 3.882 92 2014-07-09 15:03:33:329
## 3 3.882 147 2014-07-09 15:03:33:384
## 4 3.882 203 2014-07-09 15:03:33:440
## 5 3.882 265 2014-07-09 15:03:33:502
## 6 3.882 322 2014-07-09 15:03:33:559
Select the data which we only need it.
dacc <- data.frame(acc$ACCELEROMETER.X..m.s².,acc$ACCELEROMETER.Y..m.s².,
acc$ACCELEROMETER.Z..m.s².,acc$MAGNETIC.FIELD.X..Î.T.,
acc$MAGNETIC.FIELD.Y..Î.T.,acc$MAGNETIC.FIELD.Z..Î.T.,
acc$YYYY.MO.DD.HH.MI.SS_SSS)
names(dacc) <- c("accX","accY","accZ","mX","mY","mZ","time")
show the new data “dacc”
head(dacc,10)
## accX accY accZ mX mY mZ time
## 1 -1.33118 3.0358 10.822 -8.76 -38.46 -19.26 2014-07-09 15:03:33:252
## 2 0.93853 2.3272 8.475 -11.94 -37.98 -19.62 2014-07-09 15:03:33:329
## 3 -1.43652 3.7637 9.730 -11.94 -37.98 -19.62 2014-07-09 15:03:33:384
## 4 -1.43652 3.7637 9.730 -12.48 -38.34 -19.98 2014-07-09 15:03:33:440
## 5 -0.04788 3.5051 10.467 -12.48 -38.34 -19.98 2014-07-09 15:03:33:502
## 6 0.18196 2.6145 8.274 -9.96 -39.18 -20.64 2014-07-09 15:03:33:559
## 7 0.58418 1.5993 11.502 -9.96 -39.18 -20.64 2014-07-09 15:03:33:623
## 8 0.58418 1.5993 11.502 -10.14 -38.88 -22.98 2014-07-09 15:03:33:677
## 9 1.45568 0.9768 10.161 -10.14 -38.88 -22.98 2014-07-09 15:03:33:729
## 10 1.45568 0.9768 10.161 -15.30 -34.74 -29.04 2014-07-09 15:03:33:783
Before we plot the data we have to change the time format from factor to posixct,
class(dacc$time)
## [1] "factor"
Change to POSIXct format
dacc$time <- strptime(gsub(":(?!\\d+:)", ".", as.character(dacc$time), perl=T), "%Y-%m-%d %H:%M:%OS")
Show class of data
class(dacc$time)
## [1] "POSIXlt" "POSIXt"
head(dacc,10)
## accX accY accZ mX mY mZ time
## 1 -1.33118 3.0358 10.822 -8.76 -38.46 -19.26 2014-07-09 15:03:33
## 2 0.93853 2.3272 8.475 -11.94 -37.98 -19.62 2014-07-09 15:03:33
## 3 -1.43652 3.7637 9.730 -11.94 -37.98 -19.62 2014-07-09 15:03:33
## 4 -1.43652 3.7637 9.730 -12.48 -38.34 -19.98 2014-07-09 15:03:33
## 5 -0.04788 3.5051 10.467 -12.48 -38.34 -19.98 2014-07-09 15:03:33
## 6 0.18196 2.6145 8.274 -9.96 -39.18 -20.64 2014-07-09 15:03:33
## 7 0.58418 1.5993 11.502 -9.96 -39.18 -20.64 2014-07-09 15:03:33
## 8 0.58418 1.5993 11.502 -10.14 -38.88 -22.98 2014-07-09 15:03:33
## 9 1.45568 0.9768 10.161 -10.14 -38.88 -22.98 2014-07-09 15:03:33
## 10 1.45568 0.9768 10.161 -15.30 -34.74 -29.04 2014-07-09 15:03:33
Now we can Plot it, in this document we use ggplot
p <- ggplot(dacc, aes(dacc$time, dacc$accX)) +
geom_line() + scale_x_datetime(breaks=date_breaks("5 sec"), labels = date_format("%H:%M:%S")) + xlab("Time") +
ylab("Accelerometer X")
p
p <- ggplot(dacc, aes(dacc$time, dacc$accY)) +
geom_line() + scale_x_datetime(breaks=date_breaks("5 sec"), labels = date_format("%H:%M:%S")) + xlab("Time") +
ylab("Accelerometer Y")
p
p <- ggplot(dacc, aes(dacc$time, dacc$accZ)) +
geom_line() + scale_x_datetime(breaks=date_breaks("5 sec"), labels = date_format("%H:%M:%S")) + xlab("Time") +
ylab("Accelerometer X")
p
