Thanks Gabor. Neat, it creates a df but this in not the solution I'm
looking for. This is hard to explain but I'll give it a try. See, in my
original df, in lev1, there is only 20 days
> range(df$date1[df$lev == "lev1"])
[1] "2007-09-01" "2007-09-23"
and we all know that in September there is 30
Thanks Gabor for your reply. Your script will find missing days in date1
range but my intention was to find missing days in each level (df$lev)
in corresponding month. The resulting df could look like this:
lev date1
1 lev1 2007-09-03
2 lev1 2007-09-04
4 lev1 2007-09-24
5 lev1 2007-09
Hi,
I have a data.frame like this:
y <- rnorm(60)
lev <- gl(3,20, labels=paste("lev", 1:3, sep=""))
date1 <- as.Date(seq(ISOdate(2007,9,1), ISOdate(2007,11,5),
by=60*60*24))
date1 <- date1[-c(3,4,15,34,38,40)]
df <- data.frame(lev=lev, date1=date1, y=y)
I would like to produce a new data.frame w
Hello,
I would like to plot specific SNPs with their exact locations on a
chromosome. Based on my genotyping results I would like to separate
these SNPs in three different categories: 1, 2 and 3 and use different
colours to represent these categories. The script below generates the
sample data. I
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