Dear Sebastian Luque (and All R Users)
With the following code I managed to plot different characters and regression
lines for panels 2 (Day of year 101) and 4 (Days of year 151, 157 and
172):
xyplot(log(no.larvae)~age.cls|factor(day),data=mortal,
layout=c(7,1),aspect=5/3,
Dear All,
I'm confortable with xyplot(...) and panel.lmline(...) statements (at least I
thought I did :). I've used the following code to plot the decline in
log-abundance of fish larvae (no.larvae) with age (age.cls, 4 to 27 days-old)
for specific dates of sampling (day, 9 dates). I further
Dear All,
I' ve used ANCOVA (through lm(Y~factor*x)) to study the influence/differences
between levels of factor upon the Y-x relationship. I found that both
intercepts and slopes differ among levels of the factor. I understand from the
results of summary(lm(Y~factor*x)) which of the
Dear All,
I'm trying to calculate the following:
g.rate-(SL-int)/NO
where SL and NO are individual length and counts for the same subject, and the
int value is a day-specific value i.e. for each DAY=88, 101..., 172 I'd like to
use a different values of int=9.32, 8.43, ..., 9.81. All variables
Dear All,
Help is needed! I have a matrix with frequencies of fish larvae per length
class (var. sl) and age-group (var. median.no) obtained with
k-table(cut(sl,(5:22)),median.no)
k[2:5,1:5] #to ilustrate k
4 5 6 7
(6,7] 3 1 0 0
(7,8] 3 0 1 0
(8,9] 3 4 3 5
(9,10] 3
Dear All,
I need help both with analytical and computational aspects.
My problem: I have counted and measured increments on otoliths (inner-ear bony
structures) of fish larvae collected at different times of day. This was
repeated three times for each fish larvae (in random order and no
Dear All,
A friend asked me for help with a regression problem dealing with y and x, both
random variables.
The x and y are respectively the observed and estimated biomass values of a
green algae derived from an ecological model.
We first considered it to be a model II regression and
Dear All,
I'm new to the list and relatively new to R (but not so to S-Plus) and I´ve
been asked to help study some experimental data.
In a factorial experiment (5 factors at 2 levels) the response-variable was
measured at various times (0, 2, 5, 7, ..., 30 days after start). There's just
one
