search for: yearly

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

I'm having the most curious error while using the sem package. For the model I'm working with, I keep getting the following error: Error in J[cbind(1:n, observed)] <- 1 : subscript out of bounds I''ve used debug=TRUE with sem, and there don't appear to be any problems with model - there are no latent variables in this model. The variables in the covariance matrix

The US water year extends from 01 October yyyy-1 through 30 September yyyy and is referenced by the year starting on the included 01 January yyyy. I'd like to be able to find the annual means for the water year. To do so I've taken the input date-time, which is in the usual format "1991-10-07 10:35:00" changed it by: w$d<-as.POSIXct(w$date.time) Now I can add an

Hi all, I?m fitting GLM?s and I can?t interprete the coefficients when I run a model with interaction terms. When I run the simpliest model there is no problem: Model1<-glm (Fishes ~ Year + I(Year^2) + Kind.Geographic + Kind.Fishers + Zone.2 + Hours + Fishers + Month, family = poisson(log)) # Fishes, Year, Hours, and Fishers are numeric, Kind.Geographic, Kind.Fishers, Zone.2 and

People, I have tables years and teams and I have the years listing like: 1965 1966 1967 . . I want to be able to click on the year and ONLY list teams for that year. At first I thought the following was working until I started populating the table with teams for more than one year. For views/years/list.rhtml: <% for year in @years %> <tr> <td> <%= link_to

Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured. Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up. The variable "survey_start" represents the start of the study-defined one year follow up (which we called

Is there a function that will allow me to run all model iterations if I specify a full model? I am using information criteria to choose between possible candidate models. I have been writing out all possible model combinations by hand, and I am always worried that I am missing models or have made a mistake somewhere. It is also difficult to alter models if I want to change a term. For example,

Hi Everybody, I'd like to start archiving e-mails by moving them to a server with running Dovecot. I installed "dovecot-core" and "dovecot-imapd" (version 2.3.4.1) on Debian 10. One of a few configurations I made is to use Maildir: # grep '^mail_location = ' /etc/dovecot/conf.d/10-mail.conf mail_location = maildir:~/Maildir I successfully moved some e-mails (at

Hey all, I feel like the solution to this problem should be relatively simple, but for some reason I can't find answers or come up with my own solution. Given the dataframe: (SpA and SpB not important, want to look at distribution of cooccurance for each year) Year SpA SpB Coocc 2000 0 2000 2 2000 1 2001 8 2001 2 2001 0 2001 0 2002 1 2002 2 How can I apply different functions to

Hello, I'm attempting to read information from an XML into a data frame in R using the "XML" package. I am unable to get the data into a data frame as I would like. I have some sample code below. *XML Code:* Header... Data I want in a data frame: <data> <row BRAND="GMC" NUM="1" YEAR="1999" VALUE="10000" /> <row

Hello all, After more digging I was able to find out how to do this. The answer came from an example here: https://stackoverflow.com/questions/3541713/how-to-plot-two-histograms-together-in-r yr_1997<-data.frame(bias=ann_bias$bias1997) yr_1998<-data.frame(bias=ann_bias$bias1998) yr_1999<-data.frame(bias=ann_bias$bias1999) yr_2000<-data.frame(bias=ann_bias$bias2000)

Hi, I am trying to reproduce some functionalities of Excel pivot table in R, sadly, I couldn't figure out how to do it. I am wondering if this is even possible in R. Does anyone know? Here is an example: year=rep(2003,16) quarter=rep(1:4,each=4) sales=1:16 company=rep(c("a","b","c","d"),4) df=data.frame(year,quarter,sales,company) #this is the

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)

Hi all, I can not seem to get what I want using the Lattice package to generate an array of histograms of spatialgrid dataframe data. I can use the sp package and spplot to generate an array of maps that display an array of spatialgrid dataframe data -- that's good. I have:

Glad you found an answer, though it looks more self-educational than efficient (see suggestions below). In the future, follow the recommendations of the Posting Guide: use plain text, and provide a reproducible example. Some elaborations on what "reproducible" means are [1][2][3]. One issue here was that you did not include sample data to work with (I have assumed below that ann_bias has

...omeone help me out? and also, this set of data has 99.99s I set all the 99.99 ==NA. however, when im doing the order function to find the max value of that year, it still reads 99.99 as the max value. Thank you very much maxday <- matrix(NA,63,5) for (a in 1948:2010){ maxday[,1]<-1948:2010 yearly<-na.omit(dat.mat[dat.mat[,1]==a,]) maxday[a-1947,2]<-yearly[order(yearly[,4])[*365*],2] maxday[a-1947,3]<-yearly[order(yearly[,4])[*365*],3] maxday[63,2]<-yearly[order(yearly[,4])[127],2] maxday[63,3]<-yearly[order(yearly[,4])[127],3] maxday[a-1947,4]<-max(yearly[,4]) maxday[,5...

Hello, I have some data covering contaminant concentrations in fish over a time period of ~35 years. Each year, multiple samples of fish were taken (with varying sample sizes each year). Ultimately, I want an estimation of the variance between years, and the variance within years + random effects. I used a linear mixed model to estimate these variances, but after reading a number of different

Dear expeRts, In the minimal example below, I have a data.frame containing three "blocks" of years (the years are subsets of 2000 to 2002). For each year and block a certain "value" is given. I would like to create a matrix that has row names given by all years ("2000", "2001", "2002"), and column names given by all blocks ("a",

Hi Let''s say we have model Foo. Each Foo instance can have several bars. Those bars are primitive, so they shouldn''t be models. For example, Foo might be a type of convention, and the bars might be years the convention was held in. Naively, we would have a conventions_years date, and put: has_many :years inside class Convention. But then we''d get an error, since for

I'm trying to read two data sets in json format from a single .js file. I've tried fromJSON() in both RJSONIOIO and RJSON packages, but they require that the lines be pre-parsed somehow in ways I don't understand. Can someone help? > wheat <- readLines("http://mbostock.github.com/protovis/ex/wheat.js") > str(wheat) chr [1:70] "var wheat = [" "