search for: hankea

Help I can produce the hexidecimal equivalent of a decimal number but I am having a hard time reversing the operation. I'm good for hex representations to 159 and am close to extending to 2559. The archives are not clear on the existence of a function for this task. Is there one? Here is what I have got so far: #Good for hex values to "9F" as.decmode<-function(as.character(x)){

Hi, I tried to install a package using the menu option and was presented a list filled with NA's. I then tried visiting the R site and each option on the side bar (eg. CRAN, Search,FAQ) sends me to the address attached below (NB: I left off the h in http). The first problem seems to be related to the second. Is anyone else experiencing this behaviour and how do I restore normal behaviour?

Hello, for testing & learning purposes I create X11 device and specify layout like layout(c(1,2,3), 3, 1), so I could play with parameters and see several plots at the same time. That works fine until I try to create 4-th plot - all other plots erased. Such behaviour isn't desirable for testing purposes and I'm asking where to look to disable erasing other plots. Regards, Oleg

I thought this was going to be easy ... Can the label size of identify() be controlled by setting par(cex.*) because I'm having no luck? My only recourse is to save the index and position of the labels from identify() and use text() to replot them. Regards Alex Alex Hanke Department of Fisheries and Oceans St. Andrews Biological Station 531 Brandy Cove Road St. Andrews, NB Canada E5B 2L9

Dear R-Help Does "The R Package for Multivariate and Spatial Analysis Version 4.0 (Casgrain and Legendre, 2001)" exist on CRAN and under what name? It supposedly has a chronological clustering program ,CHRONO, that I would like to use. Alternatively, I would ask if there is a R based program that performs chronological clustering? Thanks Alex Alex Hanke Department of Fisheries and

Dear List, Is the test for proportional hazards valid when the model contains a cluster variable? The output looks strange with the cluster variable. My intervals are based on calendar time and the clustering variable is related to the season the event occurs in. model1<-coxph(Surv(Start,Stop,Event)~LagAOO+I(LagAOO^2)+ FirstSeen+TSLE+strata(CumPOO.rc)+cluster(quarter),data=data8, x=T)

This question relates to the use of the RODBC package for retrieving data from a MS Access database. It is quite easy to retrieve data sitting in tables but is it possible to select from views based on these tables? The archives do not touch on this point. sqlTables() lets me see tables and views but only the tables yield data. Do I need to recreate these views on the R side of the connection?

Hi, I recently installed R on a Windows 95 machine. Everything went well untill I tried to run the program. I get the R console and a message "fatal error can't mkdir R_TempDir". The R-help archive has a report of a similar problem but the instructions for repair seem to assume that the R console is available (the program closes after the error). An installation on an identical

Dear All, I'm having just a little terminology problem, relating the language used in the Hosmer and Lemeshow text on Applied Survival Analysis to that of the help that comes with the survival package. I am trying to back out the values for the baseline hazard, h_o(t_i), for each event time or observation time. Now survfit(fit)$surv gives me the value of the survival function, S(t_i|X_i,B),

Dear list, This is a question about overdispersion and the ML estimates of the parameters returned by the glm.poisson.disp (L. Scrucca) and glm.nb (Venables and Ripley) functions. Both appear to assume a negative binomial distribution for the response variable. Paul and Banerjee (1998) developed C(alpha) tests for "interaction and main effects, in an unbalanced two-way layout of counts

Dear R-helpers, To get curves for a pseudo cohort other than the one centered at the mean of the covariates, I have been trying to use the newdata argument to survfit with no success. Here is my model statement, the newdata and the ensuing error. What am I doing wrong? > summary(fit) Call: coxph(formula = Surv(Start, Stop, Event, type = "counting") ~ Week + LagAOO + Prior.f +

Dear Rui, >From my understanding of time-dependent covariates (not an expert but have been working on a similar problem), it would appear that the coding of the status column is not correct. Unless you have observed an event at each interval you should only have status=1 for the last interval. In your example I see 3 in total. Also, I think that if "end" is proportional to your