Displaying 5 results from an estimated 5 matches for "dlebauer".
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lebauer
2018 Aug 28
0
Scientific Programmer: Simulation Analysis of Engineered Plants (University of Arizona, Tucson AZ)
...that integrates data collected from a variety of handheld, aerial, and ground-based sensor platforms.
_____________________
David LeBauer, PhD
Director of Data Science for the Arizona Experiment Station
1230 N Cherry Avenue, Tucson, Arizona 85721
207 BSRL
University of Arizona
520-621-4381
mailto:dlebauer at email.arizona.edu
[[alternative HTML version deleted]]
2010 Sep 30
2
can I add line breaks to the paste() function?
Can I add a line break to the paste() function to return the following:
'this is the first line'
'this is the second line'
instead of
'this is the first line this is the second line'
?
using optimize with two unknowns, e.g. to parameterize a distribution with given confidence interval
2010 Oct 15
2
using optimize with two unknowns, e.g. to parameterize a distribution with given confidence interval
Hi,
I would like to write a function that finds parameters of a log-normal
distribution with a 1-alpha CI of (x_lcl, x_ucl):
However, I don't know how to optimize for the two unknown parameters.
Here is my unsuccessful attempt to find a lognormal distribution with
a 90%CI of 1,20:
prior <- function(x_lcl, x_ucl, alpha, mean, var) {
a <- (plnorm(x_lcl, mean, var) - (alpha/2))^2
b
2010 Jun 16
4
Is there a non-parametric repeated-measures Anova in R ?
Hello Prof. Harrell and dear R-help mailing list,
I wish to perform a non-parametric repeated measures anova.
If what I read online is true, this could be achieved using a mixed Ordinal
Regression model (a.k.a: Proportional Odds Model).
I found two packages that seems relevant, but couldn't find any vignette on
the subject:
http://cran.r-project.org/web/packages/repolr/
2010 Jun 17
1
is there a function to find the quantile of the mean of a vector?
Hello,
I am interested in finding the quantile of the mean of a vector,
something analogous to using the pnorm(), but for an mcmc chain
instead of a distribution with known parameters.
One approach would be to write a function that finds the index of x_i
that minimizes (x-mean(x))^2
I suspect there is a function available to do this, but I can't find it?
Thank you,
David