search for: rayo

Hi R-listers, I am trying to make a trellis boxplot with the HSuccess (y-axis) in each Rayos (beach sections) (x-axis), for each Aeventexhumed (A, B, C) - nesting event. I am not able to do so and keep receiving: Error in eval(expr, envir, enclos) : object 'Rayos' not found Please advise, Jean require(plyr) resp <- read.csv("ABC Arribada R File Dec 12 Jean Jang....

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 operat...

Hi R-listers, I am trying to compare sections of the beach separated from the HTL to the Veg (east to west), separated into indices (-5 to 30m), HTLIndex. Cross parallel (north to south) are major beach sections (Rayos 1, 2, 3, 4 and MNB). I am thinking to do an ANOVA for each independent rectangle of beach (not exactly but will be treated as). The HTL from (0-5m) in Rayo 1 is one rectangle of beach; (0-5m) in Rayo 2 is another... etc. I was considering an 2-way anova with interactions - see below. But this doe...

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 = obje...

...ows 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 (Shells/TotalEggs ~ Rayos, data = data.to.analyze) Error in plot.window(...) : need finite 'xlim' values In addition: Warning messages: 1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion 2: In min(x) : no non-mi...

...r the AIC, how do I interpret it is worth it to include 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 = b...

...esto lo debería tener en cuenta también. > > Mis dudas vienen suscitadas por el hecho de que pienso que los > algoritmos de clasificación son totalmente dependientes del los de > clustering (que les etiqueta los datos). > > Confío en vuestra experiencia para que me aportéis un rayo de luz en esto > > ¡Muchísimas gracias! > > Un saludo, > DANI > > _______________________________________________ > R-help-es mailing list > R-help-es en r-project.org > https://stat.ethz..ch/mailman/listinfo/r-help-es [[alternative HTML version deleted]]

...> > > Mis dudas vienen suscitadas por el hecho de que pienso que los > > > algoritmos de clasificación son totalmente dependientes del los de > > > clustering (que les etiqueta los datos). > > > > > > Confío en vuestra experiencia para que me aportéis un rayo de luz en > > esto > > > > > > ¡Muchísimas gracias! > > > > > > Un saludo, > > > DANI > > > > > > _______________________________________________ > > > R-help-es mailing list > > > R-help-es en r-project.org <...

...as por el hecho de que pienso que los >> > > > algoritmos de clasificación son totalmente dependientes del los >de >> > > > clustering (que les etiqueta los datos). >> > > > >> > > > Confío en vuestra experiencia para que me aportéis un rayo de >luz en >> > > esto >> > > > >> > > > ¡Muchísimas gracias! >> > > > >> > > > Un saludo, >> > > > DANI >> > > > >> > > > _______________________________________________ >>...

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) >