similar to: Opening files from R terminal - appologies

Hi, I'm writing a C function that has to call a R function with multiple arguments. I've read the relevant section in Writing R Extensions, and searched the R site, mailing lists as well as rseek. I managed to call the function, but I'm now having trouble creating the argument list. I tried to create a pairlist of the arguments and send it to the R function. The R function however

Hi all, Firstly I appologise if this question has been answered previously, however searching of the archives and the internet generally has not yielded any results. I am looking in to the effects of summer weather conditions (temperature, humidity etc), on the incidences of a breathing disorder brought on through smoking (COPD). I am fairly new to R and completely new to the idea 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?

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

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 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 <-

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, I have eight vectors that I would like to orthogonalize preferably using R. The vectors are of considerable length, however due to their nature I know they satisfy the conditions needed to apply the Gram-Schmidt algorithm. Before I embark on some R coding, I wanted to check that there is no facility / function already around that computes the orthogonalized set of vectors? I have performed

Hi, Is there any quick and easy way to rename a number of objects, without having to rename each one individually and then remove the old one? And if so, is there anything I can do to adjust the associated comments accordingly? Thanks for any help, Robin Williams Met Office summer intern - Health Forecasting robin.williams@metoffice.gov.uk [[alternative HTML version deleted]]

Hi, Is there a function in R to calculate the coefficient of skewness of some data? I had expected there to be one, but can find no information about it. Thanks for any pointers. Robin Williams Met Office summer intern - Health Forecasting robin.williams@metoffice.gov.uk [[alternative HTML version deleted]]

Me again I've downloaded the xen source from thexen.org and browsing for hotplugpath.sh give me no result, so I guess is not a Debian bug but rather xen bug.

[I'm sorry to trouble the list with this, but this is the only way I know to contact the person concerned] This message is for Stephen Karrington - it appears that you have over-agressive 'spam' filters and we can no longer email you. Please rectify this if we are to have meaningful conversation! The original message was received from Linus Surguy

Hi, Please could someone explain how this element of predict.lm works? From the help file ` newdata An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used. ' Does this dataframe (newdata) need to have the same variable names as was used in the original data frame used to fit the model? Or will R just look across consecutive

The NULL initialization of the pointers assigned by kzalloc() or kunit_kzalloc() first is not necessary, because if the kzalloc() or kunit_kzalloc() failed, the pointers will be assigned NULL, otherwise it works as usual. so remove it. Ruan Jinjie (7): drm/amdkfd: Remove unnecessary NULL values drm/amd/display: Remove unnecessary NULL values drm/msm: Remove unnecessary NULL values

Hi, I am looking for a normality test in R to see if a vector of data I have can be assumed to be normally distributed and hence used in a linear regression. > help.search("normality test") suggests the Shapiro test, ?shapiro.test. Now maybe I am interpreting things incorrectly (as is usually the case), am I right in assuming that this is a composite test for normality, and hence a

Am 09.08.23 um 05:44 schrieb Ruan Jinjie: > The NULL initialization of the pointers assigned by kzalloc() first is > not necessary, because if the kzalloc() failed, the pointers will be > assigned NULL, otherwise it works as usual. so remove it. > > Signed-off-by: Ruan Jinjie <ruanjinjie at huawei.com> Reviewed-by: Christian K?nig <christian.koenig at amd.com> for this

Am 09.08.23 um 05:44 schrieb Ruan Jinjie: > The NULL initialization of the pointers assigned by kzalloc() first is > not necessary, because if the kzalloc() failed, the pointers will be > assigned NULL, otherwise it works as usual. so remove it. > > Signed-off-by: Ruan Jinjie <ruanjinjie at huawei.com> Reviewed-by: Christian K?nig <christian.koenig at amd.com> for this

Am 09.08.23 um 05:44 schrieb Ruan Jinjie: > The NULL initialization of the pointers assigned by kzalloc() first is > not necessary, because if the kzalloc() failed, the pointers will be > assigned NULL, otherwise it works as usual. so remove it. > > Signed-off-by: Ruan Jinjie <ruanjinjie at huawei.com> Reviewed-by: Christian K?nig <christian.koenig at amd.com> for this

The NULL initialization of the pointers assigned by kzalloc() first is not necessary, because if the kzalloc() failed, the pointers will be assigned NULL, otherwise it works as usual. so remove it. Signed-off-by: Ruan Jinjie <ruanjinjie at huawei.com> --- drivers/gpu/drm/amd/amdkfd/kfd_mqd_manager.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git