beta? What can I
do about that?
Thank you,
Shawn Morrison
#
#My example:
#
rm(list = ls())
objects()
library(popbio)
# Vital rate means and variances, and 'types' for the vrtypes a
beta? What can I
do about that?
Thank you,
Shawn Morrison
#
#My example:
rm(list = ls())
objects()
library(popbio)
# Vital rate means and variances, and 'types' for the vrtypes argument
in vitalsim
# 'names' is not used
ition.
Thanks again,
Shawn
Chris Stubben wrote:
Shawn Morrison-2 wrote:
# The paper reports a 95% CI of 0.79 - 1.10
# "My" reproduced result for the CIs is much larger, especially on the
upper end. Why would this be?
# The authors report using the 'delta' method (Caswell, 2
by one unit has a corresponding
___% decrease in Y.
How do I calculate the % change in Y caused by changes in B? Is there an
R function, or a bit of code that will do the trick? How do these
calculations affect the SEs?
Thank you,
***
Shawn Morrison
Edmonton, Alberta
?
Thank you for your help,
Shawn Morrison
# Generate a sample dataset
var1 = rnorm(1000)
var2 = rnorm(1000)
TimePeriod = rep((LETTERS[1:4]), 250)
my.data = as.data.frame(cbind(var1, var2, TimePeriod)); summary(my.data)
attach(my.data)
# Create box plots for var1 and var2 using TimePeriod on the x-axis
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
On Tue, 22 Jun 2010, Shawn Morrison wrote:
Hi all,
I have a dataset with several variables, each of which is a separate
column. For each variable, I want to produce a boxplot and include
the name of the
})
##
HTH,
Josh
On Tue, Jun 22, 2010 at 9:45 AM, Shawn Morrison
wrote:
Hi all,
I have a dataset with several variables, each of which is a separate column.
For each variable, I want to produce a boxplot and include the name of the
variable (ie, column name) on each plot.
I have inclu
uous data,
but I'm running into roadblocks for count data.
Sincerely,
Shawn Morrison
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