ge and the
functions "step" or "stepAIC"? When would one use "mle.stepwise" versus
"step/stepAIC"? Other than the references in the R-software, is there
anything which discusses the use of "mle.stepwise"?
Thank
Hello,
I am trying to perform a two-factor ANOVA analysis using a blocking design with
"Vol" as the response variable. My intent is to have "Rater" treated as the
treatment variable and the "Pipe" treated as the blocking variable. I am
reading and preparing my dataset using the following thre
code based on the y-values in the each
input file that'll work too.
Thank you kindly in advance,
Jim Brindle
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Hello,
I am guessing this is not a difficult question. But at the same time, I
haven't had much luck figuring this issue out from the R documentation and
help pages.
How can I create superscript text in the labels of a plot? The parameter
along my y-axis is volume and my desire is for the y-
Hello,
I am trying to understand how to utilize the "mvr" function in the pls
Package of R. I am utilizing the R "pls Package" document dated 18 May 2005
as guidance. My data set consists of a 12 x 12 data frame created from
reading in a table of values. I have read the data in via the comm
Hello,
I am hoping someone could shed some light on power calculations for me. I
have two small data sets of unequal sample size after NA removal (m = 5, f =
7).
m <- c(2.0863, 2.1340, 2.1008, 1.9565, 2.0413, NA, NA)
f <- c(1.8938, 1.9709, 1.8613, 2.0836, 1.9485, 2.0630, 1.9143)
In a R help mes
Hello,
I am hoping someone could shed some light into the Wilcoxon Rank Sum Test
for me? In looking through Stats references, the Mann-Whitney U-test and
the Wilcoxon Rank Sum Test are statistically equivalent. When using the
following dataset:
m <- c(2.0863,2.1340,2.1008,1.9565,2.0413,NA,NA
Hello,
Is there anyway one can have more than 11 independent variables in a
regression model? To hopefully illustrate: with 13 predictors in my model,
the last 2 coefficient estimates are "NA". When I view the summary, it
indicates that 2 coefficients are "not defined because of singularities
