similar to: Histogram

Respected sir/madam can you please suggest what is an unexpected symbol in the below code for running a multinomial logistic regression model <- multinom(adoption ~ age + education + HH size + landholding + Farmincome + nonfarmincome + creditaccesibility + LHI, data=newdata) [[alternative HTML version deleted]]

Hello, I have a sample data frame which looks like this day od month 1 1 0.1 2 2 3 #VALUE! 1 3 5 0.4 12 4 7 0.8 10 5 11 - 3 6 14 s 7 7 18 -- 12 8 27 19 7 Now i wish to filter all the non numeric values and replace it with "NA". The data frame

Hello, I am trying to extract a subset of a dataframe A (2 columns) by extracting all entries in A (several repeated entries) that match dataframe B in both columns. For example, part of A and B are shown below. The following does not seem to work correctly. This only seems to select on the first component and all instances of the second. ind <- A$C1 %in% B[,1] & A$C2 %in% B[,2]

I came across a thread in the archives that seems to suggest that multiple connections can be made from a single application,although I am unsure what version(s) of libvirt support it. https://www.redhat.com/archives/libvirt-users/2010-March/msg00074.html I'd like to know if multiple connections(for eg,virConnectOpenAuth()) can be made from an application using libvirt-0.6.3-20.1.el5_4 .

Server is PII-350MHz/256 MB RAM, hardware mirrored high speed SCSI disks. Installed is SuSE 8.2 with Samba 2.2.8a RPM, XFS filesystems and LPRng as printservices. Server acts as PDC and WINS server. Clients are W2K SP2 (a few with SP3). There are +/- 100 clients. We see a server that is 100% busy and we see during a long time a very high CPU load (60- 95%) related to one W2K client. When

Rhelpers: I'm curious what the appropriate analysis to use for testing the hypothesis that two histograms are statistically different from one another? Thanks! --j

Hal, Tobias, et al. – I am strongly in favor of seeing a broader range of loop transformations, supported by strong dependence analysis, added to LLVM, and the Polly infrastructure seems to be by far our best bet to make that happen. I have a couple of questions: 1) Integer constraint libraries like ISL (and Omega, which I used extensively in a previous project) are fundamentally solving

If the observations are normally distributed and the 2xk design is balanced, theory requires that the tests for interaction and row effects be independent. In my program, appended below, this would translate to cntT (approx)= cntR*cntI/N if all R routines were functioning correctly. They aren't. sim2=function(size,N,p){ cntR=0 cntC=0 cntI=0 cntT=0 cntP=0 for(i in 1:N){

Hi, In a routed network setup , is it possible to use ProxyARP given the condition that the shorewall external interface and the DMZ interface are in a completely different network . That means the gateway of the External interface and the hosts in ProxyARPed DMZ zones are in different network. eth0 ---in 220.227.X.Y/30 -- shorewall external interface eth1 ---in 220.227.A.B/27 -- shorewall

On Mon, Sep 4, 2017, at 20:49, Hal Finkel via llvm-dev wrote: > [tying to original thread] > > On 09/04/2017 01:37 PM, Adve, Vikram Sadanand via llvm-dev wrote: > > Hal, Tobias, et al. – > > > > I am strongly in favor of seeing a broader range of loop transformations, supported by strong dependence analysis, added to LLVM, and the Polly infrastructure seems to be by far

Dear R users and helpers, I'm trying to find an example of a histogram plot as an inset (upper right or left corner) of another histogram. Anyone has an example of that? Thanks for your help, V?ctor. -- ----------------------------------------------------------------------- V?ctor Homar Santaner Grup de Meteorologia Edif. Mateu Orfila Tel: +34 971 17 1376

TestHistogram_A is a function that plots a histogram, then returns 3. For me it fails to display the plot, at least in the order given below. TestHistogram_B is a function that plots a histogram, then exits. The only difference between the 2 functions is that B does not return 3. It displays the plot. This problem does not occur when histogram is replaced by boxplot Their use

for a silly question, wondering how to test fit with the one sample as follow. I have read _fitting distributions with R_, but that doesn't answer my specific question. inclined to use Kolmogorov-Smirnov D, and its associative p value. much appreciation! X20.001 232 93 84 185 336 417 228 199 2110 1411 612 1913 1314 3015

Good news, everyone! Phase I of LLVM testing is now finished! You can find binaries here: http://llvm.org/pre-releases/3.4/rc1/ Please take some time to download and use those binaries. There have been several bugs that have cropped up in the meantime. We need to get these fixed for the release. Please help out if you can! Here are a few bugs that seem pretty bad: *

I have a vector of values (about 8000 obs between 0 and 1). I want to display a histogram as follows: value of vector ( bw 0 and 1) | | | | | |______________________________________ all 8000 obs. So that each section of the x axis corresponds

Dear all, How can I use the histogram density estimate (hist) to find the value of the cdf at a certain point? Thanks Maram [[alternative HTML version deleted]]

Hi I consider myself not a complete beginner in R, however an elegant solution to this problem stumps me. I have a fairly long time series of 60000 or so points, I need to gather the data to create a histogram of the length of continuous zero periods in a data set. So image the data looks like this (where as a pre-condition all numbers are single digit so assume commas if you which, I have the

Dear all, I would like to change the "fill" pattern of a histogram using histogram() in the lattice package. I know how to do so using hist(), but would prefer to stay within lattice. dt1 <- rnorm(100,0,1) hist(dt1, density=3, angle=45) library(lattice) histogram(dt1, xlab = "Histogram of rnorm(0,1)", type = "count",

Let's say I have a dataset Dataset<-read.csv("Dataset.txt", header=T, row.names=1) Dataset Alpha Beta Gamma Delta A 1 2 3 4 B NA 2 4 5 C NA 3 NA NA D 8 9 10 11 E 5 NA 7 13 F NA NA NA 4 I want to remove all rows with more than one NA So I want it to look like Alpha

I ask for a histogram of counts with slightly uneven breaks but histogram() ignores the 'type' argument and provides density scaling instead. x = sample(1:3, 100, replace=TRUE) histogram( ~ x, breaks=c(0,1.5,2.5,3.5), type='count') My real application has time data with month boundaries for the breaks and I DO want counts on the y-axis. A work-around is not difficult but