search for: admiss

Hi all, Again I have searched the net and so on, without finding an answer to this surely simple problem. A short bit of code would be appreciated. I have a object named `data' with the following column headings. Date, maxitemp, minitemp, admissions, d.o.w. Where d.o.w. is day of the week, written "Sun" "Mon" etc. I just need to scale the Monday admissions by 0.91, the Saturday admissions by 1.21 and the Sunday admissions by 1.22. So basically what I want is: If d.o.w. == "Sat" Multiply Sat admissions b...

I'm trying to fit a Cox proportional hazards model to some hospital admission data. About 25% of the patients have had at least one admission, and of these, 40% have had two admissions within the 12 month period of the study. Each patients has had one of 4 treatments, and one of the treatment groups has had no admissions for the period. I used: surv.obj<-Surv(t...

...category_regex: def self.category_regex regex_str = "" for category in DownloadableFileCategory.find(:all) regex_str += category.category.downcase regex_str += "|" end Regexp.new(regex_str.chop, Regexp::IGNORECASE) end This creates a regex such as /admissions|jobs/i so that the url /admissions/downloads maps to the list_downloads_for_category method with params[:category] = "admissions" and /jobs/downloads maps to the same method with params[:category] = "jobs". That part works correctly. The part that''s not working is...

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Hello, I have a general help question that some of you might be able able to help. I would like to design a study (a two group comparison) based on reduction on events(say hospital admissions). In a previous study hospital admission rate of 140 admissions per 72 patients (over a 4 month period) has been observed. That is rate is about 1.9. In order to see the admission rate reduction of 50% over a 4 month period, i.e. 0.95, in a two group comparison (alpha 0.05) with appropriate pow...

...Cc: <> Sent: Wednesday, July 23, 2008 4:14 PM Subject: Re: [R] Using if, else statements > Hi Robin: > I think you can avoid the loops doing this: > > my.df<-data.frame(d.o.w=sample(c("mon","sat","sun"), 20, replace=T), > admissions=rnorm(20)) > weight <- c(1,1,1,1,1,1.21,1.22) > names(weight) <- c("mon","tue","wed","thu","fri","sat","sun") > my.df$NewAdm <- my.df$admissions * weight[as.character(my.df$d.o.w)] > > my.df > >...

Let's say you have a 256 Kbps Internet connection and you're using it for voice calls. With mu-law (G.711), each call uses about 80 kbps, so you really can't have more than 3 calls active at one time. Does Asterisk support any kind of Call Admission Control where it would prevent you from originating a call if it would exceed your Internet bandwidth? For example, in this case, ideally, we would want Asterisk to present busy tone when the fourth simultaneous call is attempted.

Test =) soddsjbmshdwqwu -- Test, yep.

Dear R-listers, I am a relatively inexperienced R-user currently migrating from Stata. I am deeply frustrated by this data manipulation question: I know how I could do it in Stata, but I cannot make it work in R. I have a data frame of hospitalization data where each row represents an admission. I need to know when patients were first discharged, but the problem is that patients were sometimes transferred between hospital departments. In my data a transfer looks like a new admission, except that it has a 'start' date equal to the previous admission's 'stop' date. H...

Hi all, I have a large data.frame, 1530 observation with 6 columns. I want to merge a 7th column, a transformation of the response variable (hospital admissions), namely trans<-sqrt(copd$admissions+0.25) trans<-data.frame(trans) And now when I do copd2<-merge(copd,trans) (copd being my original data.frame), R either crashes or is taking an extremely long time to do the computation. I had expected the computation to be done almost instantly a...

Hi everybody! I`m working in a QoS framework for wireless network and I want to know if somebody knows some Admission Control program for bandwidth that runs in Linux. Thanks a lot! regards Luciana _______________________________________________ LARTC mailing list LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/cgi-bin/mailman/listinfo/lartc

...ld like to have the terminal open and open and close various workspaces in one session, without wanting to restart R all the time. Finally, I rather embarrasingly can't get lm to work despite reading the help. I can get it to work with a single explanatory variable, EG model <- lm(data$admissions~data$maxitemp) but how to include a second explanatory variable (minitemp)? I keep getting errors. Surely I don't need to use c(data$maxitemp,data$minitemp) etc? All help greatly appreciated - I am getting there slowly! Robin Williams Met Office summer intern - Health Forecasting...

...e manuals, and some other sites as well, and I haven’t done too well finding relevant info, hence my question here. I’m working with hierarchical data (in SPSS lingo). That is, for each case (person) I read in three types of (medical) record: 1. demographic data: name, age, sex, address, etc 2. ‘admissions’ data: this generally repeats, so I will have 20 or so variables relating to their first hospital admission, then the same 20 again for their second admission, and so on 3. ‘collections’ data, about 100 variables containing the results of a battery of standard tests. These are administered at...

While trying to identify possible causes of wrong mail folder creation I did something...bad. Normally, I would recognize that deleting a mail folder would naturally delete all the contained mails. However...somehow my imaginative self decided that deleting a virtual folder via IMAP would only delete the virtual folder...and not proceed to delete every referenced email via the virtual

Dear all, I am having difficulties using the seemingly-simple function lag. I have a dataframe with several weather variables (maxitemp, windspeed, rainfall etc), and the response variable (admissions). The dataset is fairly large (1530 observations). I simply want to model the response against a lag of a couple of the explanatory variables, say maxitemp and rainfall. I would like to look at lagtimes of 4 days, i.e. 4 observations. My dataframe is called allengland. I thought I would be a...

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...es that the >>files attached and/or any website linked to this e-mail may contain. >> >>PJSC Uralkali does not and will not admit any claim, demand, lawsuit >>and/or liability in relation to any transaction, agreement or other >>obligation (including but not limited to admission of the indebtedness >>or other payment obligation), in full or in part, in case such >>admission, directly or indirectly is expressed in this e-mail or in >any >>attachment to it. Any such admission may not be used as evidence >and/or >>argument in court, arbitratio...

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...t and the samba password setup for root. I will also add that I am currently having a problem (just within the last couple of hours) where it is not possible to browse the workgroup. Thanks in advance PK Peter Kernke Senior Programmer (Infrastructure and Operations) Queensland Tertiary Admissions Centre Ltd Level 2/33 Park Road PO Box 1331, Milton, Brisbane, Australia, 4064 Ph: (07) 3858-1238 Mobile: (0408) 347 677 Fax: (07) 3368-2263 E-mail: pk@qtac.edu.au ------------- End Forwarded Message ------------- ----------------------------------------------- Peter Kernke Senior Prog...

...wever I would like to maximise R's potential as I feel it will stand me in better stead in the long run. Currently the dates are in the form 1-Apr-1997, 3-Sept-2001, etc. I will create a data.frame with date as one of the variables, the others being (initially) temperature, humidity, and Admissions (the number of hospital admissions for COPD exaserbations). Please could somebody tell me if there is a simple way to extract the data I want, and if so perhaps a sample command to get me going? Do I first need to format the dates to some numeric-only format? As I say, I could use Excel to c...