similar to: Subsetting data by date

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

Dear all, I appologise for cluttering up the list with such a basic question, however I have been unable to find the answer I want (possibly through my poor usage of the R help system). As I am visually impaired and using assistive technology, I think I would prefer to use R from the terminal mode, i.e. by running rterm.exe found in the bin directory. I have managed to set my working

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

Hi all, Thanks for the help with my previous post. I have just two more questions for the minute. I think I said in a previous post that I like to use the terminal, i.e. run rterm.exe. On exiting the terminal, I am asked if I want to save the workspace. If I hit y (yes), the workspace is just saved as .rdata in my working directory, does anyone know how I can name it directly from the

Hi all, I am very confused with class. I am looking at some weather data which I want to use as explanatory variables in an lm. R has treated these variables as factors (i.e. with different levels), whereas I want them treated as discretely measured continuous variables. So I need to reassign the class of these variables, right? Indeed, doing class(southwest$pressure) (pressure being air

Hi Gene, On 5/16/23 21:08, gene heskett wrote: > Take an extra vitamin b1 and start hacking ;o) yeah ;-) > > Seriously, if its that important, do as I did when my last wife was > dying of COPD. :( sorry to hear > Leave your ups setup as is but for under $10k (USD), > have an automatic home sized standby generator installed to run the > important stuff, no room for

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

I''m trying to get my routes to work properly. Here''s how I''m defining one of my routes: map.downloads '':category/downloads'', :controller => ''downloads'', :action => ''list_downloads_for_category'', :requirements => {:category => DownloadableFileCategory.category_regex} And here''s the method

On 5/16/23 14:09, Carsten Aulbert wrote: > Hi Roger, > > On 5/16/23 17:00, Roger Price wrote: >> Hello Carsten, That's what I did but for a much simpler setup. I live >> in an area with a lot of lightning, and my shutdown criteria is to be >> able to shut down repeatedly during an electrical storm.? The NOTIFY >> and CMDSCRIPT and the upssched-cmd logic are

Hi all, Is there an equivalent to the general * operator in R, where * can represent any character? I have a dataset, one column being date, date ranging between April-September, 97-06. I would like to be able to acquire the data for a specific month, say September, so that I can take average temperatures for the month, etc. I thought I would be able to do something like data.s1 <-

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:

Two Postdoctoral fellows (fulltime) Leiden University, Leiden, The Netherlands Job description ________________________________________ TOP Institute Pharma (TI Pharma) has granted our proposal to set up a mechanism-based PK-PD modelling platform. This platform focuses on the transfer of knowledge from academia to the pharmaceutical industry and is a collaborative effort of

Hi, Appologies for the simple nature of this question, I am unable to find the answer in manuals (EG and introduciton to R). I have written a function in a text editor and saved it with an .R extension. It is saved in my working directory. How can I run it, do I need to use source? If so, how do I supply the arguments to the function? Or does it need to be saved in a particular directory?

Hello, I can get nut to work with this UPS using the apcsmart driver, but only with limited functionality. It is only reporting the OL/OB status and that's about it. None of the other useful variables such as run time, load etc are reported and initiating battery tests does not work either. Has anyone managed to get nut to report more than these variables with a Matrix type UPS? I see

Hi, To my knowledge, an excellent of ggplot with a second y-axis is https://rpubs.com/MarkusLoew/226759 In this example, the author uses two colors for the two lines, but the line shapes are the same -- both are solid. Could each line have its own color as well as its own shape? For example, can I make the red line with the linetype "twodash", while the blue line with the

Hi, We have a several AP9612TH environmental cards (they have 2 probe connectors) inserted into our APC UPS devices which monitor temperature and humidity. The apcsmart nut module knows how to query the ambient.temperature and ambient.humidity using the 't' and 'h' commands of the UPS (refer to apcsmart.h). The results of the 't' and 'h' commands are from probe 1.

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

Hello, Firstly let me explain that the nature of what I want to do is actually beyond my statistical knowledge, having only taken a second year university stats course last year. Therefore I may have missed the statistical essence of what I want to do as well as my lack of ability to do it in R. I am trying to fit some hospital admissions data to a series of weather variables. Due to my lack of

Hi I am using R version 2.7.2. on a windows XP OS and have a question concerning an analysis of covariance with count data I am trying to do, I will give details of a scaled down version of the analysis (as I have more covariates and need to take account of over-dispersion etc etc) but as I am sure it is only a simple problem but I just can't see how to fix it. I have a data set with count

Sorry let me clarify. If I modify the line p <- p + geom_line(aes(y = air_temp, colour = "Temperature")) by p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype ="Temperature")) and p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity")) by p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity",