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...clude another variable in the model? How do I know when to stop? Definitions of Variables: HTL - distance to high tide line (continuous) Veg - distance to vegetation Aeventexhumed - Event of exhumation Sector - number measurements along the beach Rayos - major sections of beach (grouped sectors) TotalEggs - nest egg density Example of how all models were created: Model2.glm <- glm(cbind(Shells, TotalEggs-Shells) ~ Aeventexhumed, data=data.to.analyze, family=binomial) Model7.glm <- glm(cbind(Shells, TotalEggs-Shells) ~ HTL:Veg, family = binomial, data.to.analyze) Model21.glm <- glm(cbind(...

...r$Aeventexhumed, sep="") envir$QuadratEvent <- as.character(envir$QuadratEvent) ExDate <- Sector <- Quadrat <- Aeventexhumed <- NULL ST1 <- ST2 <- ST3 <- ST4 <- ST0 <- NULL Shells <- Hatchlings <- MaxHatch <- DeadHatch <- NULL Oldeggs <- TotalEggs <- QuadratEvent <- NULL for (q in unique(as.character(resp$QuadratEvent))) { s <- resp[as.character(resp$QuadratEvent) == q, ] ExDate <- c(ExDate, as.character(s$ExDate[1])) Sector <- c(Sector, as.character(s$Sector[1])) Quadrat <- c(Quadrat, as.characte...

I was able to make a scatterplot but ... 1) what does the "86" mean? The "86" shows up on the graph as well. > scatterplot (Shells/TotalEggs ~ Sector, data = data.to.analyze) [1] "86" 2) Also how do you change the Y axis title? I don't want it to read Shells/TotalEggs, instead I would like it to read Average Hatching Rate (%). 3) What does this error mean? Rayos if composed of section 1, 2, 3, 4 and 5 > scatterplot...

Hi All, I am wondering if anyone can tell me what the warning message below the model means? J add1(DTA.glm,~ Aeventexhumed + Veg + Berm + HTL + Estuary + Rayos) Single term additions Model: cbind(MaxHatch, TotalEggs - MaxHatch) ~ Aeventexhumed + Veg + Berm + HTL Df Deviance AIC <none> 488.86 4232.9 Estuary 1 454.96 4201.0 Rayos 3 258.80 4008.9 Warning messages: 1: In model.matrix.default(Terms, m, contrasts.arg = object$contrasts) : variable 'Rayos' converted to a...

Hi R - listers, I am receiving an error. Does anyone know what this means? J ggplot(subset(foo, Rayos != "Rayos.NA"), aes(x=HTL, y=DevelopIndex, colour=TotalEggs)) +geom_point() +geom_jitter() + facet_grid(Aeventexhumed ~ Rayos) + geom_smooth(method="lm", fill=NA) + ylim(c(0, 7)) Error in +geom_smooth(method = "lm", fill = NA) : invalid argument to unary operator [[alternative HTML version deleted]]

...what the error I'm receiving means below. I thought it said that Aeventexhumed should be converted to a factor, so I tried to do so and received the following error. Please advise. J --------------------------------------------------------- > data.to.analyze.glm <- glm(cbind(MaxHatch, TotalEggs-MaxHatch) ~ > Aeventexhumed, family=binomial, data=data.to.analyze) Warning message: In model.matrix.default(mt, mf, contrasts) : variable 'Aeventexhumed' converted to a factor > data.to.analyze$Aevent ~ as.factor(data.to.analyze$Aevent) data.to.analyze$Aevent ~ as.factor(data.to....

...ding required package: plyr > turtlehatch <- read.csv(file.choose()) > attach(turtlehatch) The following object(s) are masked _by_ '.GlobalEnv': Aeventexhumed, DeadHatch, ExDate, Hatchlings, MaxHatch, Oldeggs, Quadrat, QuadratEvent, ST0, ST1, ST2, ST3, ST4, Sector, Shells, TotalEggs -- View this message in context: http://r.789695.n4.nabble.com/masked-by-GlobalEnv-tp4628664.html Sent from the R help mailing list archive at Nabble.com.

...-values in the binomial were more significant for each section of the beach. -- telling me more about the beach. Is this ok? Can I just look at the binomial glm model 25 and look at its p-values for beach sections and forget about the quasibinomial model 25? J Call: glm(formula = cbind(Shells, TotalEggs - Shells) ~ Sector:Veg:Aeventexhumed, family = quasibinomial, data = data.to.analyze) -- View this message in context: http://r.789695.n4.nabble.com/binomial-vs-quasibinomial-tp4364371p4364371.html Sent from the R help mailing list archive at Nabble.com.

...106 4 19.1A Nov. 22, 2010 79 19 A 0 0 0 0 0 102 5 23.1A Nov. 20, 2010 34 23 A 135 23 1 6 0 125 6 24.1A Nov. 28, 2010 34 24 A 660 0 2 0 0 4 Hatchlings MaxHatch DeadHatch Oldeggs TotalEggs QuadratID Sector Aeventexhumed Veg 1 3 72 2 0 178 8.1 14 A 9.75 2 4 74 0 21 188 10.1 13 A 16.34 3 1 106 1 165 151 14.1 20 A 3.15...

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

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >