similar to: Cloud Function Error

Hi Folks, I have data that looks like this: freq gender xBar 1000 m 2.32 1000 f 3.22 2000 m 4.32 2000 f 4.53 3000 m 3.21 3000 f 3.44 4000 m 4.11 4000 f 3.99 I want to plot two lines (with symbols) for the two groups "m" and "f". I have tried the following: plot(xBar[gender=="m"]~freq[gender=="f"]) followed by

Dear R-Helpers, Why does R show character missing values in vectors as NA and when stored in a data frame as <NA>? I've searched but did not find an explanation. Thanks, Bob > gender <- c("f","f","f",NA,"m","m","m","m") > gender [1] "f" "f" "f" NA "m" "m"

Hi , I want to know is this behavior expected and why is that ? Need some help gender <- c("F", "M", "M", "F", "F", "M", "F", "F") > age <- c(23, 25, 27, 29, 31, 33, 35, 37) > df<- data.frame(gender,age) > typeof(df[[1]]) [1] "integer"

hi there.. i got a problem with ggplot2. here my example: library (ggplot2) v1 <- c(1,2,3,3,4) v2 <- c(4,3,1,1,9) v3 <- c(3,5,7,2,9) gender <- c("m","f","m","f","f") d.data <- data.frame (v1, v2, v3, gender) d.data x <- names (d.data[1:3]) y <- mean (d.data[1:3]) pl <- ggplot (data=d.data, aes (x=x,y=y)) pl

[Re-directing to R-help, as this is more appropriate there.] I tried copying the snippet of data into the windows clipboard and tried it: > dat <- read.table("clipboard", header=T) > dat Name Weight Height Gender 1 Anne 150 65 F 2 Rob 160 68 M 3 George 180 65 M 4 Greg 205 69 M > str(dat) `data.frame': 4 obs.

I might have factored the gender. I'm not sure it would in any way be quicker. But might be to some extent easier to develop variations of. And is sort of what factors should be doing... # make dummy data gender <- c("Male", "Female", "Male", "Female") WC <- c(70,60,75,65) TG <- c(0.9, 1.1, 1.2, 1.0) myDf <- data.frame( gender, WC, TG ) #

I have some data that I need to view in various 3-D clouds. To better see the cloud structure on a 2-D screen I would like to output a bunch of bmp files with clouds at slightly different angles, then run them through an external program to animate them. But I'm having trouble getting cloud() from the lattice package to output to bmp files. Oddly, this is only a problem when outputting

Hi all, I'd like to plot a set of data (x,y,z) as 3D-cloud, and add several line plots to the same 3D graph: Two questions: 1) How do I connect points to get a line? > cloud(z~x*y,data=d,zlim=c(0,1)) # works > cloud(z~x*predict(l),data=d,zlim=c(0,1),type="l") # type="l" doesn't Warning message: type = l not implemented, consider using

I've noticed that none of the images from virt-builder have cloud-init in them by default.  The documentation reads to me as if the OS vendor's official cloud images are the ones used as the sources for the generated images but I'm assuming this is wrong. I know for a fact CentOS's cloud images from https://cloud.centos.org/centos/7/images/ and Ubuntu's from

is there any way to use cloud-init configs in python libvirt? cloud-init require to create an iso, which seems that ovirt support cloud-config: https://red.ht/2K1gBkn But how can I do that by python libvirt? I know I can mount iso by python libvirt to the VM, but the process of creating iso file is the problem which if it is possible to enter the cloud-config commands by libvirt could be better

Dear all R users, I got a strange problem while working with SPSS data : I wrote following : library(foreign) data.original = as.data.frame(read.spss(file="c:/Program Files/SPSS/Employee data.sav")) data = as.data.frame(cbind(data.original$MINORITY, data.original$EDUC, data.original$PREVEXP, data.original$JOBCAT, data.original$GENDER)) colnames(data) = c('MINORITY',

Hi, I installed the lattice package so I can plot 3D "cloud" scatterplots: > install.packages("lattice") But (after successfully installing from the Berkeley mirror), R insists it cannot find the cloud function, part of the lattice package: > cloud Error: object 'cloud' not found What did I do wrong? Thanks! PT -- View this message in context:

Dear People at R help, I am trying to figure out the syntax for a three-level logistic model with a single random effect (intercept): Data Collected My data consist of three levels: level 1 is four setting for each student (setting nested within student), and each student is registered in one of 14 universities (students nested within university). More detailed: A. 2,479 students who have a

I'm using the 'cloud' function in the 'lattice' package to produce multi-panel 3D scatter plots. The range of the values used vary much between each panel (especially on the z axis), so I wish the axis limits to be calculated based on the (conditional) data. Here's a minimal example: library(lattice) z=1:200 x=runif(200) y=runif(200) s=factor(rep(c(1,2),each=100))

Hi, At Vagrant Cloud there are "box" images for stream8 and stream9 [1]. At least they are supposed to be there. The download links on the detail pages, for example for stream9 20230727.1 [2] are redirected to cloud.centos.org, however they give an 404 error. Possibly the centos Vagrant Cloud page is not kept up to date with the actual box images that are now present on

> On 13 Jul 2017, at 01:55, Johnny Hughes <johnny at centos.org> wrote: > > On 07/12/2017 02:02 PM, Pierre Riteau wrote: >> Hello, >> >> The version of cloud-init packaged in CentOS 7 Extras is rather old (0.7.5, which was released in 2014). It is missing some functionality that we would like to use, as well as important bug fixes. >> Before I tackle

Hi, Has any one used resizefs module with cloud-init on centos/redhat before? How to call it with #cloud-config user data, do I need to give it any parameters? I googled cloud-init, but it is pretty difficult to find a manual/book on this, and mostly they are Ubuntu based. If possible, I'd like to use a same image/AMI to boot up instances(VMs) with different disk size setup, and let

Any chance of a refresh of the cloud image (http://buildlogs.centos.org/centos/7/cloud/) and including cloud-init and the repos ? With this, we can start asking our end users to give CentOS 7 a spin on the cloud.. Thanks Tim

Hello, The version of cloud-init packaged in CentOS 7 Extras is rather old (0.7.5, which was released in 2014). It is missing some functionality that we would like to use, as well as important bug fixes. Before I tackle rebuilding the package myself, I would like to know if there is a plan to update extras to a newer cloud-init version, or if has anyone has already updated cloud-init and would be

Hello, I am trying to plot lines in 3 dimensions from a multiple linear model to illustrate the interaction of two of the explanatory variables. I'm trying to use the cloud function (though I'm open to a different function if an easier one exists). I keep getting the error message: Error in cloud(lmPeHa061201, data = PeHa061201, cex = 0.8, main = "Table 99: PeHa", :