Here is one way to read the data. Modified your sample for the line
counts of actual data:
x <- readLines(textConnection("40 Terry Cove-Model
300 .300110459327698
300.041656494141 .289277672767639
300.083343505859 .276237487792969
300.125 .258902788162231
300.166656494141 .236579895019531
300.20
You have to sync up the data before you can do a scatter plot. If the data are
changing slowly relative to the sample rates then you can use approx to
interpolate one data set at the timestamps of the second to generate a column
you can add to the second data frame.
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I was able to read the data using the following code:
jd1 <- read.table('Practicedata.dat',header=T,sep="\t",nrow=6240)
jd2 <- read.table('Practicedata.dat',header=T,sep="\t",skip=6241)
colnames(jd1) <- c("Date","Mod")
colnames(jd2) <- c("Date", "Obs")
p <- ggplot(jd1,aes(x=Date,y=Mod))+geom_line(
Hello All,
I have a data file in a text format and there are two data sets. The data
set are continuous.
For each data set there is a header which has the number of data rows and
the name of data series.
For example first data set has "6240 Terry Cove-Model". Then the data for
that series follows
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