I have a data set that looks like this:
dene <- data.frame(length =
c(35,32,33,34,41,40,46,35,41,40,45,36,38,37,39,40,42,42,42,43,44),
sex=c(1,1,1,1,2,2,2,1,2,2,2,1,2,2,2,2,2,2,2,2,2))
I would like to plot the density (frequency of occurrence) of each length
class but I want to have different colo
umn, and
> whether you should drop the unused levels.
>
> Reading the help for factor may be enlightening.
>
> Sarah
>
> On Thu, Jan 13, 2011 at 3:57 AM, Jacob Kasper
> wrote:
> > I am using subset to select the data I want to use for my analysis and
> find
> &
I am using subset to select the data I want to use for my analysis and find
that after I subset my data frame on one column I get ghost values in the
other columns. here is an example:
> table(data$Dags)
2008/04/12 2008/04/13 2008/04/16 2008/04/17 2008/04/19 2008/05/06
103
I am trying to run an ancova and am having trouble setting it up properly.
I have nearly 10,000 measurements of fish length, girth and stage of sexual
development. I am suspicious that the stage of development is affecting the
length (as they get full of eggs they get more round and are more diffic
I am trying to run an ancova and am having trouble setting it up properly.
I have nearly 10,000 measurements of fish length, girth and stage of sexual
development. I am suspicious that the stage of development is affecting the
length (as they get full of eggs they get more round and are more diffic
(bty =
"n","topright",paste("r2=",round(summary(lat_x)$r.squared,digits=3),",
P=",round(coefficients(summary(lat_x))[2,4], digits=3)))
Thank you
Jacob
--
Jacob Kasper
http://twitter.com/Protect_Oceans
66°04' N
23°07' W
Coastal & Marin
(1985,2010),
xlab="Year",ylab="Individuals",
rylab="# Stations")
--
Jacob Kasper
http://twitter.com/Protect_Oceans
66°04' N
23°07' W
Coastal & Marine Management Master's Student
University Centre of the Westfjords
Sundstræti 14
I am trying do to a PCA analysis using princomp. I get a result, but I
wonder if I have the data in the correct format.
My data contains many stations where fish were sampled as well as
environmental information for each station (lat, lon, depth, temp and year).
the format is like this:
species 1|
Part of my script reads:
speciesName <- names(data)[i]
plot(year,depth, xlab="Year",
ylab="Depth(m)",main=expression(italic(paste(speciesName))) )
Unfortunately, this just plots *speciesName *on my graph, not the name of
the species in italics. Any suggestions on how to resolve this?
Thank you
J
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