Dear All,
I have a dataframe made up of individual beetles consisting of individual
number, family number, mother's family number, father's family number, and
sex of the beetle. I would like to pair up the individuals for breeding. I
would, however, like to avoid breeding beetles of the same
Hi all,
I’m trying to plot confidence intervals for the fitted values I get with my
lme model in R.
Is there any way I can plot this in the form of a shaded band, like the
output of geom_smooth() in ggplot2 package. ggplot2 seems to use only lm,
glm, gam, loess and rlm as smoothing methods.
I have a function to calculate the rate of increase (the difference between
the value and the previous value divided by the total number of eggs in a
year) of egg production over the course of a year:
rate - function(x){
storage - matrix(nrow=length(x),ncol=1)
storage[1,] - x[1] /
But why not just
c(x[1], diff(x))/max(x)
So simple! Thank you ever so much Berend.
Best wishes,
Ben
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Hi all,
I have scoured the archives of this forum but nothing quite seems to fit the
bill...
I would like to plot a graph displaying two variables (y axes) that share
date as the x axis. However, the date values for each variable are not the
same - for example, some parasitoids were not released
Hi all,
My code:
temp-outer(release.days,collection.days,'-')
temp-ifelse(temp=0,NA,temp)
release.diff-apply(temp,2,max,na.rm=TRUE)
works for one trap and does what I want. That is, it determines the time
difference between the collection date of a trap and date of parasitoid
release
The below works for one trap. Surely there is a quick way to scale it to all
of the traps?
temp.ACAP1-outer(release.days[Trap==ACAP1],collection.days.2[Trap==ACAP1],'-')
temp.ACAP1-ifelse(temp.ACAP1=0,NA,temp.ACAP1)
diff.ACAP1-apply(temp.ACAP1,2,max,na.rm=TRUE)
Thanks
Ben
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Hi Jon,
Sorry about the lack of information. I'll give the data from one of my
traps:
(nb. all of the data for each trap is referenced to the start day of the
trap. ie ACAP1 started collecting at day 0 but parasitoid releases occurred
266, 259, 225 etc days before collecting took place)
Trap
I am attempting to emulate the VLOOKUP function from Excel in R.
I want to compare one column (coll.minus.release) with another
(release.days) to get the number of parasitoid released at that time
(TotalParasitoids).
for example:
coll.minus.release release.daysParasitoidTotal
-12
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