search for: culloch

...electing / creating unique colours for behavioural / > transitional data (Kingsford Jones) > 9. code to find all distinct subsets of size r from a set of > size n (Dale Steele) > 10. Re: Selecting / creating unique colours for behavioural / > transitional data (Ross Culloch) > 11. Re: Selecting / creating unique colours for behavioural / > transitional data (Ross Culloch) > 12. R multiline expression grief (Paul Suckling) > 13. Re: Unable to run smoother in qplot() or ggplot() - complains > about knots (Ista Zahn) > 14. Re: Selecting /...

Dear all, This seems like a simple problem but i've searched the help files and tried various options but failed, so apologies in advance for asking what i'm sure is an easy thing to do! In short, I have displayed behavioural data using the TraMineR package such that there is a colour change between the transition of behaviours, however, all the methods that i have used thus far have

Hello fellow R users! I wonder if someone can help with what i think should be a simple question but i can't seem to find the answer or work it out. My data set is as such: Day Time ID Behaviour 1 9 A1 2 1 10 A2 3 .. .. .. .. 4 10 A1 10 4 11 A2 1 .. .. .. .. 30 1 B1 14 30 2 C3 4 So basically i

Hi all, I am struggling to work out how to use the rownames from an edited dataframe rather than the row names from the original dataframe. In my data set i'm trying to extract several rows of data on particular individuals, i don't doubt i'm using the long way round but what i have in the way of a script is this: ##selecting the IDs from the dataframe individually

...election and I can't seem to identify how to set this loop up properly. Any advice or guidance would be most appreciated, I have tried to explain my issues clearly but if more info is required please just ask, Many thanks in advance to those of you that took the time to read this! Ross Ross Culloch Ph.D. Student Durham University UK Here is an example of the model selection table from usingMuMIn: Model selection table (Intr) S.$MO_ S.$PRE S.$PUP S.$SIT S.$YEA k Dev. AIC AICc delta weight 30 645.8000 0.03841 -0.02148 0.2882 -0.3212 5 304.0 687.1 687.7...

Hi all, I have an issue with the lm() function regarding the listing of the coefficients. My data are below, showing a list of hours (HR) relating to the time spent resting (R) by an individual animal. Simply i want to run a lm() to run in an anova() to see if there is a significant difference in resting between hours. HR R 1 2 0.6666667 2 2 0.4666667 3 2 0.8000000 4 2

Hi R-helpers, I am having a problem understanding how to construct the qmatrix, i have read the help menu for msm but I am still a bit lost. Below is an example of one of my transition matrices: statetable.msm(BEH, ID, data = A1) to from 1 2 3 4 5 23 200 201 203 999 1 86 11 2 20 1 9 3 11 1 22 2 18 4 4 4 0 1 1 1 0 1 3 5 2 0 5 0 0 2 0 0 3

Hi R users, This seems like a simple problem but I have searched nabble for the answer and can't seem to find it. All I want to do is produce a boxplot where I have two boxes for one Individual but on the xaxis I only have one tick mark centred between the boxes so I can add the Individuals' name. I have 30 IDs and have shown the code I use below for a couple of IDs, I figure the data

Hello fellow R users, I have an issue that has me a little confused - sorry if the subject makes little sense, I wasn't sure how to refer to this problem. I have a data set I've extracted from ArcInfo (a section is shown below). It is spatial data, showing the distance from one ID to another. I want to get the actual 'TO' ID from the data set (there is no easy way to do this in

Hi I'm trying to use ggplot2 to chart a dataset that I've drawn in from excel.? When I run the qplot command, I get the following error message: Error: ggplot2 doesn't know how to deal with data of class character It feels like I need to coerce one of the fields in my data frame. Here's the code, which is short: #draw data in from network location

Hi fellow R Users, I find that I typically rewrite my data specific to data in columns, which is by no means efficient and I am struggling to break out of this bad habit and utalise some of the excellent things R can do! I have tried to look at 'for' but I don't really follow it, and I wondered if anyone could help with a simple example using my script so I could follow this and build

Hi All, I am trying to run a loop that will have varying numbers of rows with each output. Previously I have had the same number of rows so I would use (and I appreciate that this will no doubt achieve some gasps as being thoroughly inefficient!): xdfrow<-(0) xdfrow1<-(1:32) xdfrow2<-(33:64) xdfrow3<-(65:96) xdfrow4<-(97:128) xdfrow5<-(129:160) xdfrow6<-(161:192)

Hello, I appreciate this is likely to be an easy question. I am trying to obtain the residuals from a linear regression where the line is forced to have a 1:1 relationship. An example of the data: A<-c(0.9803922, 1.3850416, 0.8241758, 0.0000000, 0.4672897, 1.1904762, 0.0000000, 0.9456265, 1.5151515) B<-c(1.3229572, 1.9471488, 1.3182674, 0.7007708, 1.0185740, 1.0268562, 0.8695652,

Hi R users, I am trying to omit rows of data based on partial matches an example of my data (seal_dist) is below: A quick break down of my coding and why I need to answer this - I am dealing with a colony of seals where for example A1 is a female with pup and A1.1 is that female's pup, the important part of the data here is DIST which tells the distance between one seal (ID) and another

Hi R Users, I have been trying to work out how to rename column names using grep, basically I have generated these column names using tapply: [1] "NAME" "X1.1" "X2.1" "X3.1" "X4.1" "X5.1" "X6.1" "X7.1" "X8.1" [10] "X1.2" "X2.2" "X3.2" "X4.2"

Many thanks for taking the time to read this! I am looking at the repeatability of behaviour between re-sighted individuals across discrete time periods (annual breeding seasons). My approach was to run a GLM (with a logit link - the data are proportional, presence v. absence of behaviour) for each breeding season. I included the re-sighted individuals as a factor (categorical variable) (i.e.

Hello R users, and perhaps William Revelle in particular, I'm curious as to how ICC deals with missing data, so for example you are sampling individuals over set periods in time and one individual is missing or was not recaptured at that given time point - leading to NA in the dataset. My thought was that it should then omit data by individual, but I'm not convinced that that is what it