search for: 20.59

The aggregate function for some reason will now work for me. The error I'm getting is: "Error in sort.list(y) : 'x' must be atomic for 'sort.list' Have you called 'sort' on a list?" agPriceList=aggregate(PriceList$Size, list(PriceList$bandNum),sum) *Price list dataframe:* dput(PriceList) structure(list(Price = c(0, 8.18, 8.27, 10.42, 10.5, 10.6, 11.13,

dear R experts---sorry, second question of the day. I want to match some moments. I am writing my own code---I have exactly as many moment conditions as parameters, and I am leary of having to learn the magic of GMM weighting matrices (if I was to introduce more). the process sounds easy conceptually. (Seen it in seminars many times, so how hard could it possibly be?...me thinks) first

Hi all, When I ran the experiments to compare an application''s execution time in both a domU (named cctest1) and a native Linux machine (named ccn10), I noticed the application executes faster in domU. The host of the domU (named ccn9) and ccn10 are two nodes of a cluster and they have same hardware configurations. domU (cctest1) is created by exporting loopback files from dom0 on

Hi all, When I ran the experiments to compare an application''s execution time in both a domU (named cctest1) and a native Linux machine (named ccn10), I noticed the application executes faster in domU. The host of the domU (named ccn9) and ccn10 are two nodes of a cluster and they have same hardware configurations. domU (cctest1) is created by exporting loopback files from dom0 on

David, Thank you for responding to my post. Please consider the following output (typeregional is a factor having two levels, "regional" vs. "general"): Call: glm(formula = events ~ type, family = poisson(link = log), data = data, offset = log(SS)) Deviance Residuals: Min 1Q Median 3Q Max -43.606 -17.295 -4.651 4.204 38.421 Coefficients:

Hello! Since experiments on my testserver two days ago /var/spool/postfix/private/dovecot-lmtp is not created anymore. This the setting in /etc/dovecot/conf.d/10-master.conf service lmtp { unix_listener /var/spool/postfix/private/dovecot-lmtp { group = postfix mode = 0600 user = postfix } } I searched nearly the whole system for lmtp but can't find the reason why. What can

> On 22 Jan 2020, at 20.59, ratatouille <ratatouille at bitclusive.de> wrote: > > Hello! > > Since experiments on my testserver two days ago > /var/spool/postfix/private/dovecot-lmtp > is not created anymore. > > This the setting in /etc/dovecot/conf.d/10-master.conf > > service lmtp { > unix_listener /var/spool/postfix/private/dovecot-lmtp { >

Dovecot version: 2.1.13 OS: Centos 6.3 CPU: 64bit x86 There appear to be two related errors in the decode2text.sh file (which can be used for indexing/ searching attachments). - ?The layout of "$formats" has repeated values for pdf, ppt, etc, so you should only match the pattern once by adding -m1 - ?The layout of "$formats" has the file extension in the second

What's the story with php-fpm on centos 6? There's a php-fpm rpm for centos 6 in epel but other essential mods like mod_fastcgi or mod_proxy_fcgi seem to be missing from the repos I'm usually using. Need a push in right direction. Thanks.

Hi, On the weekend I tried to upgrade from RC7 to RC10. Clearly, I have to change some things before I can do this. What does it take to get to RC10? As is, my mail client got an error trying to list messages in /INBOX (via IMAP) and the mail.err log shows the following messages: Oct 29 10:27:32 siona dovecot: IMAP(archangel): open(/var/mail/archangel/inbox, O_CREAT) failed: Not a

> On Oct 22, 2017, at 3:56 PM, Sorkin, John <jsorkin at som.umaryland.edu> wrote: > > David, > Thank you for responding to my post. > > Please consider the following output (typeregional is a factor having two levels, "regional" vs. "general"): > Call: > glm(formula = events ~ type, family = poisson(link = log), data = data, > offset =

David, Again you have my thanks!. You are correct. What I want is not technically a contrast. What I want is the estimate for "regional" and its SE. I don't mind if I get these on the log scale; I can get the anti-log. Can you suggest how I can get the point estimate and its SE for "regional"? The predict function will give the point estimate, but not (to my knowledge)

Hello All, This might seem elementary to everyone, but please bear with me. I've just spent some time fitting poly functions to time series data in R using lm() and predict(). I want to analyze the functions once I've fit them to the various data I'm studying. However, after pulling the first function into Octave (just by plotting the polynomial function using fplot() over

> On Oct 22, 2017, at 5:01 PM, Sorkin, John <jsorkin at som.umaryland.edu> wrote: > > David, > Again you have my thanks!. > You are correct. What I want is not technically a contrast. What I want is the estimate for "regional" and its SE. There needs to be a reference value for the contrast. Contrasts are differences. I gave you the choice of two references

David, predict.glm and se.fit were exactly what I was looking for. Many thanks! John John David Sorkin M.D., Ph.D. Professor of Medicine Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax)

> On Oct 22, 2017, at 6:04 AM, Sorkin, John <jsorkin at som.umaryland.edu> wrote: > > I have a model (run with glm) that has a factor, type. Type has two levels, "general" and "regional". I am trying to get estimates (and SEs) for the model with type="general" and type ="regional" using fit.contrast ?fit.contrast No documentation for

I have a model (run with glm) that has a factor, type. Type has two levels, "general" and "regional". I am trying to get estimates (and SEs) for the model with type="general" and type ="regional" using fit.contrast but I can't get the syntax of the coefficients to use in fit.contrast correct. I hope someone can show me how to use fit.contrast, or some

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =