Nothing
#******************************************************
# SPEC for reading the data in R
#******************************************************
a0 <- "00filelist.csv"
a <- system.file("exampleDATA", a0, package = package.name)
dataFolder <- substring(a, 1, nchar(a)-nchar(a0)-1 )
dataFileType.df = read.table( paste(dataFolder, "00filelist.csv", sep="/"), skip=2, sep="," ,stringsAsFactors = TRUE, as.is = FALSE)
dataFiles = fac2char.fn(dataFileType.df[,1])
subjectTypes = fac2char.fn(dataFileType.df[,2])
nFile = length(dataFiles)
dataFileSuffix = ".csv" # suffix for the name of data files
sensorIDs = gsub(dataFileSuffix, "", dataFiles, fixed=TRUE)
Skip = 1 # number of lines to be skipped in each data file when the data is read in R
#Skip = 3 # number of lines to be skipped in each data file when the data is read in R
Header = FALSE # whether to use the first line after skipping 'Skip' lines as the column names
if( !Header ) columnNames = c("Time", "Glucose") #must specify
#if( !Header ) columnNames = c("ID", "PatientId", "SensorId", "Time", "Glucose")
#if( !Header ) columnNames = c("serialNumber", "SensorId", "Time", "Glucose", "Empty1", "Empty2")
Comment.char="" # in read.table()
Sep="," # usually, Sep=',' when reading '.csv' and Sep='\t' when reading '.txt'.
timeStamp.column = "Time" # this must be corrsponding to the column names after using read.table()
responseName = "Glucose" # this must be corrsponding to the column names after using read.table()
timeUnit = "minute" # the smallest time unit in the time series
equal.interval = 3 # the size of interval between two consecutive points
#equal.interval = 15 # the size of interval between two consecutive points
#time.format = "yyyy:mm:\tdd:hh:nn" #"2016:08:11:09:14" ### handle with various time formats
time.format = "yyyy:mm:dd:hh:nn" #"2016:08:11:09:14"
# The format must have 'y' for year, 'm' for month, 'd' for day, 'h' for hour, 'n' for minute,
# 's' for second, 'i' for millisecond(one thousandth of a second), each uniquely
idxNA = 0 # idxNA = NA if the missing value is marked with NA correctly
####handle with the situation of using different symbol for missing value
#idxNA = NA # idxNA = NA if the missing value is marked with NA correctly
#******************************************************
# SPEC for calculating multiscale sample entropy
#******************************************************
r <- 0.15
m <- 2
I <- 400000
scaleMax <- 10; scaleStep <- 1
Scales <- seq(1, scaleMax, by=scaleStep)
cFile = "mseLong.c"
#******************************************************************************************
# SPEC for whether to run calculation of summary statistics and/or boxplot for each sensor
#******************************************************************************************
Summary = TRUE
Boxplot = TRUE
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.