search for: hatching

Dear all, I was wondering if anyone could help solve a problem of a missing interaction effect!! I carried out a 2 x 2 factorial experiment to see if eggs from 2 different locations (Origin = 1 or 2) had different hatching success under 2 different incubation schedules (Treat = 1 or 2). Six eggs were taken from 10 females (random = Female) at each location and split between the treatments, giving 30 eggs from each location in each treatment. Overall proportions hatching were as follows: Treat...

Dear all, I'm struggling with a plot and would value any help! I'm attempting to highlight a histogram and density plot to show a proportion of cases above a threshold value. I wanted to cross-hatch the area below the density curve. The breaks and bandwidth are deliberate integer values because of the type of data I'm looking at. I've managed to do this, but I don't think it

Hello, I'm having an error when trying to fit the next GLM: >>model<-glm(response ~ CLONE_M + CLONE_F + HATCHING +(CLONE_M*CLONE_F) + (CLONE_M*HATCHING) + (CLONE_F*HATCHING) + (CLONE_M*CLONE_F*HATCHING), family=quasipoisson) >> anova(model, test="Chi") >Error in if (dispersion == 1) Inf else object$df.residual : missing value where TRUE/FALSE needed If I fit the same model by using the...

Hello, I would like to build rectangles in a plot and use color and different type of hatching for filling rectangles. I don't find the way to draw hatchings. I'm thinking to build segment by segment inside each rectangle but I'm sure that exists a better way to do that. I didn't find any documentation about that. > symbols(1,1,rectangles=cbind(1,1),bg="red", .....

...1: records of temperature ? wchillpengS1: records of temperature ? minpengS2: records of temperature ? wchillpengS2: records of temperature ? nnd: nearest neighbour distance ? npd: nearest penguin distance ? eggs: numbers of eggs ? lay: laying date (julian calendar) ? hatch: hatching date (julian calendar) I have some NAs in the data. I want to test the model with all the variable then i want to remove some, but the ideal model: GLM.1 <-lmer(fledgesucc ~ +lay +hatch +elev +seadist +nnd +npd +meanterranova +minpengS1 +minpengS2 +wchillpengS1 +wchillpengS2 +(1|territory),...

Sorry that I was unclear. For an individual to qualify for my analysis I want both of the following two criteria to be fulfilled: First, I want to select measurement taken at a certain age: for the focal individual the year of measurement (year) should be the same as year.hatch Second, I want the focal individual to be born by a mother that reproduces for the first time. So the /parents /of

Dear all, I have received some data on birds that looks sth like this: # a unique id for each individual id <- c(1,1,1,2,2,2,3,3,3,4,4,5,6) # the year the bird was measured year <- c(1995, 1996, 1997, 1995, 1996, 1997, 1996, 1997, 1998, 1996, 1997, 1997, 1998) # the year the bird was hatched year.hatch <- c(1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996, 1997, 1998)

Hello dear members of R-help and R-core mailing list, I am not sure if this request is a "ticket" that should be filled somewhere outside the mailing list. If so, I apologize for not doing and would like to know where I should have filled it. And to the subject matter: I would like to use a command like this: plot(c(1,8), 1:2, type="n") polygon(1:7, c(2,1,2,NA,2,1,2),

Hello dear members of R-help and R-core mailing list, I am not sure if this request is a "ticket" that should be filled somewhere outside the mailing list. If so, I apologize for not doing and would like to know where I should have filled it. And to the subject matter: I would like to use a command like this: plot(c(1,8), 1:2, type="n") polygon(1:7, c(2,1,2,NA,2,1,2),

#I am putting a test together for an introductory biology class and I would like to put different cross hatching inside of each bar for the bar plot below color <- c("Brightly Colored", "Dull", "Neither") lizards <- c(277, 70, 3) liz.col <- data.frame(color, lizards) qplot(color, lizards, data=liz.col, geom="bar", ylab="Observed Matings", main="...

I have used polygon() to mark the confidence limits of a survival curve. In another project, I have used the col parameter to fill my boxplots. The poly() description refers to filling but actually produces hatching (i.e. lines ). boxplot() does truly fill the boxes with a colour or shades of grey (e.g. col="red"). My novices perception of R graphics is: If you can hatch it, you cannot fill it. If you can fill it you cannot hatch it. Is this correct or is there a way of hatching my boxplots and f...

Hey, I am trying to create barplot of abundances over time (in days). The period is over 171 days, so I don't want to have all labels there but only the first day of the month. I couldn't find anything like this on the forum yet. Mostrly it's about year to year data. This is the relevant part of my table: datum month abundance 26/03/11 March 1 27/03/11 March 0 28/03/11 March 1

...nd the f density overlap for most of the plot, but areas "bulge" out on the left and right of the overlapped area. What I'm wanting to do is shade/hatch/color etc these areas which are unique to each density, that is, which are outside the overlapped area. My code is successful at hatching the bulging areas, but leaves me with a double hatched area for the overlap, which is distracting. If I could turn this double hatched area white, that would achieve my goal, though ideally I would like to be able to specify something like "shade only areas under the m density curve which...

...39;d like to go from: Check1 Check2 HatchDate 101 121 110 to: Check1 Check2 HatchDate Stage 101 109 110 I 110 121 110 B because even though the nest wasn't actually checked on the day of hatching, we know that it transitioned to the next stage on hatch day. There's other covariates as well as the unique nest ID which need to be carried along too, just like HatchDate. If anyone who is good at dataframe manipulation could suggest some code to perform these actions, I would really apprec...

M. Camanm posted in Jul 1999 the following message: " Is there any way to fill the bars in a barplot() with solid lines for postscript output, i.e. cross hatch or parallel lines, or a halftone gray rather than (semi) continuous-tone gray produced by gray()? S allows this, or at least used to, via the angle and density arguments to barplot(). The objective of course, is to produce camera

....1 on Windows Vista. I have small dataset which consists of: # NestID: nest indicator for each chicken. Siblings sharing the same nest have the same nest indicator. # Chick: chick indicator consisting of a unique ID for each single chick. # Year: 1, 2. # ClutchSize: 1-, 2- , 3-eggs. # HO: hatching order within each clutch (1, 2, 3 [first, second and third-hatched chick]). # SibComp: sibling competence: present/ absent (0, 1) # Death2: death at two days post-hatch (0, 1) # Death10: death at ten days post-hatch (0, 1) So a subset of my dataset looks something like this: NestID Chick Year...

I've been trying to run AOPA's Real Time Flight Planner (RTFP) from Jeppesen Sanderson Inc. It's almost works, but I get the following error when it tries to draw the route: fixme:gdi:ExtCreatePen PS_USERSTYLE not handled fixme:gdi:ExtCreatePen Hatches not implemented X Error of failed request: BadValue (integer parameter out of range for operation) Major opcode of failed request:

Dear Sir, I am using the following cos which creates a 3 panel figure on one image. However the legend function i am using only allows the legend to be placed within the axes of one of the graphs. The plots however do not allow for a logend to be places within the axes do to the location of points on the graph. I can add the legend later using imaging software such as paint but i lose

I'm trying to convert some S-Plus code which generates barplots and other shaded area plots to R. If I specify that I want hatching using the angle and density arguments, the messages 1: argument `density' is not used (yet) in: .NotYetUsed("density", error = FALSE) 2: argument `angle' is not used (yet) in: .NotYetUsed("angle", error = FALSE) so apparently these features have yet to be implemented...

Hi R experts, I have been using ReML as follows... model<-lmer(late.growth~mtf+year+treat+hatch.day+hatch.day:year+hatch.day:treat+ mtf:treat+ treat:year+ year:treat:mtf+(1|fybrood), data = A) then I wanted to plot the results of the three way interaction using lines() as follows... tmp<-as.vector(fixef(model)) graph1<-plot(mtf,fitted(f2), xlab=list("Brood Size"),