search for: labdata

...reate a summary dataset. The full code and data is too long to post. The snippet below might explain what I'm doing somewhat. I'll work up some sample data and code if no solutions are found. ...snip > # Get info on first and last pair sets and lab names in last pair > nlabs <- labdata[["LABNUMBER"]] #e.g. 1, 2, 5, 6, ... > nolabs <- length(nlabs) #Total number of labs in last pair of labdata > #dpdata <- labdata[which(labdata[["LABNUMBER"]] == 13),] #Dummy paired data row > dpdata <- rbind(labdata[0,], NA) > pdata <- dpdata > # Loop...

I was wondering if someone familiar with survival analysis can help me with the following. I would like to fit a Weibull curve, that may be dependent on a covariate, my dataframe "labdata" that has the fields "cov", "time", and "censor". Do I do the following? wieb<-survreg(Surv(labdata$time, labadata$censor)~labdata$cov, dist="weibull") This returns: > weib Call: survreg(formula = Surv(labdata$time, labdata$censor) ~ labdata...

Hello, I'd like to generate a filled step-function in R as you can see in the attachement (image is generated by grapher, but I need a freely available alternative). The problem is, that I don't know, how to fill it up. My code right now looks like this: pH <- c(0,6.1,6.1,6.3,6.6,7.3,0) Tiefe <- c(0,0,10,40,80,120,10) plot(pH,Tiefe,type="s",main="Tiefenfunktion

What is this error message about and how do I troubleshoot it? > sqlTables(channel) Error in .Call("RODBCFetchRows", attr(channel, "handle_ptr"), max, buffsize, : negative length vectors are not allowed The channel was created as such channel <- odbcConnect("Labdata") I think this is telling me that my odbcConnect command worked > odbcGetInfo(channel) DBMS_Name DBMS_Ver "Adaptive Server Anywhere" "09.00.0002" Driver_ODBC_Ver Data_Source_Name &q...

Greetings! As part of my research project I am using R to study temperature data collected by a network. Each node (observation point) records temperature of its surroundings throughout the day and generates a dataset. Using the recorded datasets for the past 7 days I need to build a prediction model for each node that would enable it to check the observed data against the predicted data. How can

it''s been a nightmare trying to set it up. I keep getting a an Application Error message when I try to navigate to a url which should be taken care of by my newly created controllers. For instance, I wanted to test RoR out so I created a MyTest controller which should allow me to navigate something like: http://localhost/rubytest/MyTest but it does not. I have no problem getting

...ddata() in the RArcInfo package. I installed the version 0.2 binary of the package for Windows and am using R 1.4.1 on Windows NT 4.0. I have had no problems importing and plotting arc data with get.arcdata() and plotarc(). plotpal() also works fine. I've been able to use get.arcdata(), get.labdata(), get.paldata(), get.tablenames(), get.tablefields(), get.tabledata(). When I try get.bnddata() as follows, I get an error: > wet.bnd <- get.bnddata("wetlands\\info", "WETLANDS.BND") Error in get.bnddata("wetlands\\info", "WETLANDS.BND") : Couldn...

...like to delete some records before saving them. I ran this experiment: before_save :prune_lab_datas def prune_lab_datas lab_datas.each do |lab_data| lab_data.destroy end raise lab_datas.to_yaml end But nothing seems to be deleted in the hash: --- - &id001 !ruby/object:LabData attributes: created_at: 2010-03-21 22:16:06 unit_id: "3" lab_id: "81" updated_at: 2010-03-21 22:16:06 id: "184" lab_desc_id: "6" value: "29" attributes_cache: {} changed_attributes: {} errors: !ruby/object:Activ...