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After checking the original data in Excel for blanks and running Summary(cm3) to identify any null values in my data, I'm unable to identify an instances. Yet when I attempted to use the data in Random Forest, I get the following error. Is there something that Random Forest is reading as null which is not actually null? Is there a better way to check for this? > library(randomForest) >

Dear R users, I have the following two problems, related to the function sub, grep, regexpr and similia. The header of the file(s) I have to import is like this. c("y (m)", "BD (g/cm3)", "PR (Mpa)", "Ks (m/s)", "SP g./g.", "P (m3/m3)", "theta1 (g/g)", "theta2 (g/g)", "AWC (g/g)") To get rid of spaces and

I am trying to change this define void @main(float* noalias %arg0, float* noalias %arg1, float* noalias %arg2) { entrypoint: %0 = bitcast float* %arg1 to <4 x float>* intothis define void @main(float* noalias %arg0, float* noalias %arg1, float* noalias %arg2) { entrypoint: %0 = getelementptr float* %arg1, i64 0 %1 = bitcast float* %0 to <4 x float>* I must be close but

Hi all: I get the following error message that I am not able to resolve. Error in if (const(t, min(1e-08, mean(t)/1e+06))) { : missing value where TRUE/FALSE needed It appears right before the last data.frame statement. Below is the program that simulates data from one way random effects model and then computes normality and bootstrap confidence interval for

Does anyone know of any programs capable of fine tuning my screen display settings? I'm using the NVIDIA drivers, and everything is slightly blurry - regardless of how much (or little) I set anti-aliasing to.

Dear Rexperts, I am trying to add a '+' identifying the mean in a boxplot using the following sizelist <- split(size, grp) centers <- boxplot(sizelist, style.bxp = "att", medpch = "o", ylab = "Prostate Volume (cm3)") points(centers, unlist(lapply(sizelist, mean)), pch = "+") But, I get error Error in xy.coords(x, y) :

Hello, I have a question regarding bootstrap confidence intervals. Suppose we have a data set consisting of single measurements, and that the measurements are independent but the distribution is unknown. If we want a confidence interval for the population mean, when should a bootstrap confidence interval be preferred over the elementary t interval? I was hoping the answer would be

Dear all, Using: library(vegan) data(BCI) mod <- radfit(BCI[1,]) mod RAD models, family poisson No. of species 93, total abundance 448 par1 par2 par3 Deviance AIC BIC Null 39.5261 315.4362 315.4362 Preemption 0.042797 21.8939 299.8041 302.3367 Lognormal 1.0687 1.0186 25.1528 305.0629 310.1281

On 18 Oct 2015, at 23:08, Sanjoy Das <sanjoy at playingwithpointers.com> wrote: > > Supporting only basic block level granularity for "try ranges" may not > be sufficient for Java -- if a basic block has more than one null check > in it then throwing the NullPtrException for the first null check (if > it fails) is semantically different from throwing the

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Hi, I'm using py-rrdtool 0.2.1 with rrdtool 1.3.0 under 7.0-STABLE, and there's a couple of things about this new version of rrdtool that hurt performance under FreeBSD, but apparently help on whatever they tested on. For every update, the database file is opened, mapped into memory, madvise() is called, contents are modified, msync() is called, and the file is unmapped and closed:

Hello, I have little experience with r, so I wonder if someone could help me? I need to plot a diversity measure (Fisher`s alpha) for different sites. I calculated the values using the following commands: Data(BCI) alphaBCI <- fisher.alpha(BCI) I need boxplots showing the data variation between sites. Then I tried: boxplot(as.data.frame(alphaBCI)) However, it does not appear the box plots

I won’t be able to attend, but I’d be interested in hearing if any conclusions are reached on several of these topics: > On 16 Oct 2015, at 21:27, Joe Ranieri via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > - Dealing with the explosion of basic blocks that come up with > languages where almost every function call, implicit and explicit, can > raise exceptions. This

I'm having a strange problem that appeared when I upgraded from .99something to 1.0alpha3 and then disappeared for a while and then re-appeared when I upgraded to 1.0alpha5. I am using mbox and IMAP in Apple's Mail.app to read my mail. When I delete a message in Mail.app, the message gets marked as deleted in the spool and it disappears from the mail listing in Mail. However, the

Looking for a recommended package that handles prime number computations. Tried the following unsuccessfully: primeFactors() in the R.basic package failed to install. primes() and primlist are broken in Schoolmath pkg on CRAN. My analysis can be found here http://j.mp/9BNI9q Not sure what the procedure is for getting things fixed, so I've cross-posted to r-dev as well. --njg

Looking for a recommended package that handles prime number computations. Tried the following unsuccessfully: primeFactors() in the R.basic package failed to install. primes() and primlist are broken in Schoolmath pkg on CRAN. My analysis can be found here http://j.mp/9BNI9q Not sure what the procedure is for getting things fixed, so I've cross-posted to r-dev as well. --njg

I had to apply the following patch to the clientname.c check_name() function before I could successfully use "hosts allow" in rsyncd.conf. Without the patch I kept getting "rsync: forward name lookup for ... failed: Host not found" errors. These errors were produced by the rsync daemon, and putting in a debugging statement revealed that the port_buf being used had a large

I updated my backup server this weekend from CentOS 7 to CentOS 8. OS disk is SSD, /dev/md0 are two 4TB WD mechanical drives. No hardware was changed. 1. wiped all drives 2. installed new copy of 8 on system SSD 3. re-created the 4TB mirror /dev/md0 with the same WD mechanical drives 4. created the largest single partition possible on /dev/md0 and formatted it ext4 5. waited several hours for the

Hi, I have an error with fisher.alpha from the vegan package. > fisher.alpha(data[[1]]) Error in nlm(Dev.logseries, n.r = n.r, p = p, N = N, hessian = TRUE, ...) : missing value in parameter I am trying to find fisher alpha for a list of 100 data frames, and I tried it on individual data frames in the list, which gave me the error above. I have every data frame in the same format as the

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Dear all, I've been trying to get a Dovecot IMAP service running under HP-UX 11.23, IA64. The system has 6GB of spare space under /var and at least the same amount of RAM free at the current time. I've compiled from the latest source (1.2.4), using the following options: # CC="/opt/aCC/bin/aCC" ./configure --prefix=/opt/dovecot