similar to: purrr::pmap does not work

Is there a way of getting the argument list of a function from within that function? For example, something like f <- function(x, y = 3) { fargs <- getFunctionArgList() print(fargs) ## Should be `alist(x, y = 3)' } Thanks, -roger

Dear All, I would like to define a function: f(x,y,z) with three arguments x,y,z, such that: given values for x,y, f(x,y,z) is still a function of z and that I am still allowed to find the root in terms of z when x,y are given. For example: f(x,y,z) = x+y + (x^2-z), given x=1,y=3, f(1,3,z)= 1+3+1-z is a function of z, and then I can use R to find the root z=5. Thank you. -Chee [[alternative

Dear all, I am using the following code to write the plot to an eps format postscript(file="test.eps",horizontal=FALSE)

Hi, all. I want to write some functions like glm() so i studied it. In glm.fit(), it calls a fortran subroutine named "dqrfit" to compute least squares solutions to the system x * b = y To learn how "dqrfit" works, I just follow how glm() calls "dqrfit" by my own example, my codes are given below: > qr <- >

Hello, I noticed a bug in Xen-4.1-3, which is also still present in xen+git. I know that the Python xend is deprecated, but I''m stuck with xen-4.1 until xen is usable with libvirt, so my patch might still be helpful for others. This is a follow-up to <http://lists.xen.org/archives/html/xen-users/2012-11/msg00069.html>, which still keeps me busy. /xen/xend/server/SrvDomain.py

Hi, very new to R here... I have a data frame called 'set' with 100k+ rows in it that looks like this: subject timestamp yvalue traceabs subjtrace 1 1 1992-07-12 06:05:00 12 1 1-1 2 1 1992-07-12 06:10:00 15 1 1-1 3 1 1992-07-12 06:15:00 17 1 1-1 4 1 1992-07-12 06:20:00 20 1 1-1 5

Dear Rusers, I am trying to feed my database with data from a file. But since my file (2010101000.txt) there`s no headers I am facing problem because the result data.frame is not separated my columns. How could I set variables names for each columns in *dbWriteTable*? I have tried the command below but I don`t know how to fill the *field.type*option. dbWriteTable(con, "b20101010",

While I think total compatibility is not possible or even very important I have become aware recently of some fairly low level incompatibilities that have rather serious consequences for interchange between systems. Some of these are possibly well known, but I put them on on record here just in case. (I do not expect any action on these, of course, but people may want to note them, and correct

While I think total compatibility is not possible or even very important I have become aware recently of some fairly low level incompatibilities that have rather serious consequences for interchange between systems. Some of these are possibly well known, but I put them on on record here just in case. (I do not expect any action on these, of course, but people may want to note them, and correct

Thanks. I am fully aware of what aggregate() returnes, and I can post-process this into the form I want ? if the names are available. But for foo, the returned object is both different in structure and loses the name altogether: foo <- function(x) { c(mean = base::mean(x)) } str(aggregate(iris$Sepal.Length, by = list(iris$Species), FUN = foo)) ## 'data.frame': 3 obs. of 2 variables:

It''s been a few days since I posted my last two emails (of which, no one replied to) so I''ve gone ahead and coded a working slider class as well as a ''resizeable'' class that allows a user to drag and resize the element. I also linked these two together as I want to have slider behavior that can resize the resizeable element. The end result is both the

Dear list, Is there a function (or an equivalent way) in R resembling the lsmeans command in SAS? The objective is to get the (adjusted) means for design models. Thanks in advance. Regards, Washington Santos da Silva.

I have used glm and stepAIC to choose a best model. I can use termplot to assess the contribution of each explanatory variable in the glm. However the final model after running stepAIC includes interaction terms, and when I do termplot I get "Error in `[.data.frame`(mf, , i) : undefined columns selected". I also see the termplot detail saying "Nothing sensible happens for

Dear R users, I am modelling the probability of error in a behavioural task using the glm() function (with the numbers of successes and failures listed for each line in the data frame). How can I plot the partial effects of the predictors? Many thanks in advance, Stav

Hi, does anyone has a bar plot function that produces something like this (I hope attachments work) ? If not, I simply want to produce 3d bar plots. Thanks in advance, Jan

Hi list! I did the following regression: reg1 <- glm(alti~sp + ovent + vivent + nuage, family=gaussian, data=meteo1) I was interested in knowing the effect of the species (sp) in reg1 and so I used the function «effect»: effect.sp <- effect ("sp", reg1, se=TRUE) with this output: sp AK BW NH OS RT SS 2.730101 2.885363 2.753774 2.750311

Hi guys I have few problems with live migration ... and I need some professional help :) I have 2 xen servers ... CentOS 5.3 and I want to have a high available cluster Now let`s begin .... xen0: [root@xen0 ~]# fdisk -l Disk /dev/sda: 218.2 GB, 218238025728 bytes 255 heads, 63 sectors/track, 26532 cylinders Units = cylinders of 16065 * 512 = 8225280 bytes Device Boot Start

Dear all, I am quite new with R and I have a problem with plotting a binomial regression line in a plot. This is what I type in: > model<-glm(Para~Size,binomial) > par(mfrow=c(1,1)) > xv<-seq(3.2,4.5,0.01) > yv<-predict(model,list(area=xv),type="response") > plot(Size,Para) > lines(xv,yv) The error message that I get is: > Error in xy.coords(x, y) :

Dear all, How does the effect() function in the effects package calculate effects and standard errors for glm quasipoisson models? I was using effect() to calculate the impact of increasing x to e + epsilon, and then finding the expected percent change. I thought that this effect (as a percentage) should be exp(beta*epsilon), where beta is the appropriate coefficient from the model, but

Hello R-helpers, I would like to calculate least square means after having built a GLM with quasipoisson errors. In my model the dependent variable is continuous, I have one continuous independent variable and one categorical independent variable (that is the variable for which I would like to calculate the least square means). I've looked around for the command to calculate the least