I'm new to R and my question might be a little silly, but any help is appreciated. I want to graphically explore a sample to find an appropriate distribution from which the sample could have been drawn. But when I plot a histogram of the sample, the density of the sample exceeds the theoretical maximum value of 1 :
How do I adjust this error? Do I need to transform the data or do I have to adjust the bins of the histogram?
My R code:
dataSample = read.table("sample6.txt", fill = TRUE)
sampleMatrix = as.matrix(dataSample)
sampleVector = as.vector(sampleMatrix)
h = hist(sampleVector, plot=F)
x =c(min(sampleVector, na.rm=T), max(sampleVector, na.rm=T))
ylim = range(0, max(get("density", h), max(density)))
hist(sampleVector, prob = T, col = "lightgreen", xlim = x,
ylim = ylim, main = "Histogram of data sample", xlab = "sample", ylab = "density")
This is my data sample:
0.5604785 0.0231508 0.2715692 0.2464922 0.2743465
0.434444 0.1779845 1.163666 0.5195378 0.08565649
0.2003622 0.3372351 0.02383633 0.2765776 0.1596984
0.3688299 0.2727399 0.3578011 0.4405475 0.07207568
0.424764 1.406219 1.12157 2.170512 0.6944183
2.429551 0.889546 0.1930762 0.579666 0.06834702
0.03690897 0.391838 1.019549 0.272865 0.1993042
0.02951076 0.3739699 0.2612313 1.988982 1.100386
0.9509101 1.978394 0.2469858 0.1256963 1.645895
0.1024105 0.336701 0.1322722 0.3881196 1.152153
0.6207026 1.506684 0.2826296
Thanks in advance!