similar to: A performance anomaly

Hello r-help, I am trying to collapse or aggregate 'some' of a data frame. A very simplified version of my data frame looks like: > tester trip set num sex lfs1 lfs2 1 313 15 5 M 2 3 2 313 15 3 F 1 2 3 313 17 1 M 0 1 4 313 17 2 F 1 1 5 313 17 1 U 1 0 And I want to omit sex from the picture and just get an addition of num,

Andr?, are you quite sure you have it working? In this thread someone from Open-Xchange stated that no, Dovecot doesn?t have SMTPUTF8 support implemented, and the same response was given by another Dovecot developer last September (it ?is being considered? was the answer then, see https://dovecot.org/pipermail/dovecot/2018-September/112887.html). I am using LMTP to deliver mail to Dovecot from

On 05/04/2019 08:57, David B?rgin via dovecot wrote: > Andr?, are you quite sure you have it working? > > In this thread someone from Open-Xchange stated that no, Dovecot doesn?t > have SMTPUTF8 support implemented, and the same response was given by > another Dovecot developer last September (it ?is being considered? was > the answer then, see >

Dear all I am a BEGINNER and have R on my Mac. I saved my excel file as .txt file, I have just one column with first row as the column name. My file when read by R looks like this. After reading the table I try to make a histogram by hist(dbh), it says object dbh not found. What am I doing wrong? thanks dbh 1 11.53 2 16.05 3 7.36 4 16.05 5 8.66 6 12.74 7 22.93 8 7.55 9

On 2019-04-05 08:57, David B?rgin via dovecot wrote: > Andr?, are you quite sure you have it working? > > In this thread someone from Open-Xchange stated that no, Dovecot > doesn?t > have SMTPUTF8 support implemented, and the same response was given by > another Dovecot developer last September (it ?is being considered? was > the answer then, see >

Dear R-users, I am facing problem with integrating in R a likelihood function which is a function of four parameters. It's giving me the result at the end but taking more than half an hour to run. I'm wondering is there any other efficient way deal with. The following is my code. I am ready to provide any other description of my function if you need to move forward.

The Fedora build system is in paranoid mode, and compiles everything with -Werror. Additionally, it checks that the return values of calls like read and write are checked. The build exits with errors like: xen/lowlevel/xc/xc.c: In function `pyxc_vmx_build'': xen/lowlevel/xc/xc.c:464: warning: ignoring return value of `sscanf'', declared with attribute warn_unused_result

On 2016-05-25 19:13, Kelly Lesperance wrote: > Hdparm didn?t get far: > > [root at r1k1 ~] # hdparm -tT /dev/sda > > /dev/sda: > Timing cached reads: Alarm clock > [root at r1k1 ~] # Hi Kelly, Try running 'iostat -xdmc 1'. Look for a single drive that has substantially greater await than ~10msec. If all the drives except one are taking 6-8msec, but one is very

Dears, I have the below code for metropolis of the GLM logit (logistic regression) using a flat prior. Can someone help me modify the prior so that the model becomes hierarchical by using a flat prior for mu and sigma, the derived density for beta ~ N(mu, sigma^2)? Actually I took my code from a teacher that posted on the internet and modified it to the GLM logit but I can't adapt it to the

I have a series of datasets, each containing pH measurements and manufacturing dates, and each dataset pertains to a different manufactured product. I'm trying to create a series of plots of pH measurements by date, but the default X-axis labeling behavior is not giving adequate results in this particular case, and I can't figure out how to persuade R to come up with something more

Hello, I would be very grateful if someone could give me a hand with my split plot design problems. So here is my design : I am studying the crossed-effects of water (wet/dry) and mowing (mowed/not-mowed = nm) on plant height (PH) within 2 types of plant communities (Xerobromion and Mesobromion) : - Within each type of communities, I have localised 4 blocks - In each block, I have defined

I have a loop that increases the size of an object after each iteration. When the Windows Task Manager shows "Mem Usage" about 1.8GB, the Rgui.exe process no longer responds. I use: "C:\Program Files\R\rw1080\bin\Rgui.exe" --max-mem-size=4000M --min-vsize=10M --max-vsize=3000M --min-nsize=500k --max-nsize=1000M I have a dual Xeon 2.8GHz processor box with 4GB of memory and

I'm observing that base::sum(x, na.rm=FALSE) for typeof(x) == "double" is much more time consuming when there are missing values versus when there are not. I'm observing this on both Window and Linux, but it's quite surprising to me. Currently, my main suspect is settings in on how R was built. The second suspect is my brain. I hope that someone can clarify the below

Hello, Using the following lines of code, I created the following graph:

Hello, Using the following lines of code, I created the following graph:

I'm trying to write a function to find the means over factors of the responses in a mlm (something I would do easily in SAS with PROC SUMMARY). The not-working stub of a function to do what I want is below, and my problem is that I don't know how to call aggregate (or some other function) in the context of terms in a linear model extracted from a lm/mlm object. means.mlm <-

Dear R-users, I have tried, and I imagine it should be somewhere in the lines of passing extra arguments to the panel function, but does anyone know how to change the character expansion factor that is affecting an individual point in each of the panels of a lattice plot? I have tried to pass an overall cex argument containing the desired size for each point, but then the sizes are reused for the

Hi Your statement about attaching data is problematic. We cannot do much with it. Instead use output from dput(yourdata) to show us what exactly your data look like. We also do not know how do you want to split your data. It would be nice if you can show also what should be the bins with respective data. Unless you provide this information you probably would not get any sensible answer. Cheers

This, for example: v <- c(9.6996, 99.99) formatC(v, digits=3, format="g") shows: " 9.7" " 100" This is scientifically incorrect for the first number in the sense that I like to show all 3 significant digits, including trailing zero's. Is there a way that the first number would show as " 9.70"? By the way, can't use format() since it applies

Dear R helpers I have following dataset rate_number = matrix(c(5, 15, 60, 15, 5, 0, 20, 60, 20,0, 10, 20, 40, 20, 10), nrow = 5, ncol = 3) range_mat = matrix(c(6.25, 6.75, 7.25, 8.75, 9.25, 9.75, 8.5, 9, 9.5, 10.5, 11, 11.5, 4.25, 4.75, 5.25, 5.75, 6.25, 6.75), nrow = 6, ncol = 3) > rate_number        [,1]   [,2]   [,3] [1,]    5     0      10 [2,]   15   20      20 [3,]   60   60      40