Hi R-listers,
I am trying to do an ANOVA for the following scatterplot and received the
following error:
library(car)
scatterplot(HSuccess ~ Veg,
data = data.to.analyze,
xlab = "Vegetation border (m)",
ylab = "Hatching success (%)")
anova(HSuccess ~ Veg, data=data.to.analyze)
Error in UseMethod("anova") :
no applicable method for 'anova' applied to an object of class "formula"
I am wondering if there is a better way to do this?
Please advise, Jean
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Anova
4 messages · Jhope, Rui Barradas, John Fox
Hello, You're thinking of ?aov. anova() does _not_ have a formula interface, it would be anova(lm(HSuccess ~ Veg, data = data.to.analyze)) or aov(HSuccess ~ Veg, data = data.to.analyze) Hope this helps, Rui Barradas Em 05-10-2012 09:27, Jhope escreveu:
Hi R-listers,
I am trying to do an ANOVA for the following scatterplot and received the
following error:
library(car)
scatterplot(HSuccess ~ Veg,
data = data.to.analyze,
xlab = "Vegetation border (m)",
ylab = "Hatching success (%)")
anova(HSuccess ~ Veg, data=data.to.analyze)
Error in UseMethod("anova") :
no applicable method for 'anova' applied to an object of class "formula"
I am wondering if there is a better way to do this?
Please advise, Jean
--
View this message in context: http://r.789695.n4.nabble.com/Anova-tp4645130.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Dear Jean, On Fri, 5 Oct 2012 01:27:55 -0700 (PDT)
Jhope <jeanwaijang at gmail.com> wrote:
Hi R-listers,
I am trying to do an ANOVA for the following scatterplot and received the
following error:
library(car)
scatterplot(HSuccess ~ Veg,
data = data.to.analyze,
xlab = "Vegetation border (m)",
ylab = "Hatching success (%)")
anova(HSuccess ~ Veg, data=data.to.analyze)
Error in UseMethod("anova") :
no applicable method for 'anova' applied to an object of class "formula"
I am wondering if there is a better way to do this?
anova() needs a model object, not a formula, as its first argument: anova(lm(HSuccess ~ Veg, data=data.to.analyze)) Alternatively, you can use aov(), with summary(), to get the ANOVA table: summary(aov(HSuccess ~ Veg, data=data.to.analyze)) I hope this helps, John ------------------------------------------------ John Fox Sen. William McMaster Prof. of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada http://socserv.mcmaster.ca/jfox/
Please advise, Jean -- View this message in context: http://r.789695.n4.nabble.com/Anova-tp4645130.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Thank you for the replies. I am actually trying to gain p-values and f values, and tried the below script but unsuccessful. 1) I have read in another forum to use the package lmer but apparently it does not exist. 2) Then I tried the pvals.fnc but it is not a function. 3) I read also that a glm model must first be created but was not able to gain a P-value through summary but got F statistics. 4) Is there a way to get the P-value and F statistics? Or does this require two different executions? 5) I am afraid to update my R version because I may loose my ALL saved scripts, should I do so? Please advise, Jean
install.packages("lmer")
Installing package(s) into ?/Library/Frameworks/R.framework/Versions/2.13/Resources/library? (as ?lib? is unspecified) Warning in install.packages : package ?lmer? is not available (for R version 2.13.1)
pvals.fnc(HSuccess ~ VegIndex, data = data.to.analyze)
Error: could not find function "pvals.fnc"
Model1.glm <- glm(cbind(Shells, TotalEggs-Shells) ~ HTL, data=data.to.analyze, family = binomial) summary(Model1.glm)
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