search for: spaghettied

I would like to plat some spaghetti plots from my data , ma data is as follows ak[1:3,] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 0.3211745 0.4132568 0.5649930 0.6920562 0.7760113 0.8118568 0.8609301 0.9088819 0.9326736 [2,] 0.3159234 0.4071270 0.5579212 0.6844584 0.7684690 0.8243702 0.8677043 0.8931288 0.9261926 [3,] 0.3075260 0.3993699

Greetings, I am new to R. Right now I'm most interested in the spaghetti plots of achievement over time by student ID associated with longitudinal analysis. How can I do a spaghetti plot of all students, but color the lines by group membership such as gender or race, and indicate this color scheme in the legend? Any advice would be much appreciated. Jack Jack B. Monpas-Huber, Ph.D.

Hi, I am trying to apply the example at the bottom of the following page to my own data: http://128.97.141.26/stat/R/faq/spagplot.htm http://128.97.141.26/stat/R/faq/spagplot.htm The code from the example is: /tolerance<-read.table("http://www.ats.ucla.edu/stat/R/faq/tolpp.csv",sep=",", header=T) fit <- by(tolerance, tolerance$id,function(x) fitted.values(lm(tolerance

Hello, I am trying to create individual concentration-time spaghetti plots sorted by dose, and within each dose to show two different colors for a categorical variable (gender). I can’t find a way to add the color for gender. Groups=ID enables individual lines for each subject. If I use groups=gender, there will be two colors, but the lines between subjects are connected. This is what I have

Dear Rxperts, Is there a simpler way to generate multipanel grouped individual profile plots? All individuals of a group within a panel have the same color. As of now I am using lattice::xyplot to get the desired effect. Please feel free to suggest other ideas. Also, I am trying to create a generalized function which goes on similar lines like this.. grpPlot <- function(dat, mpgrp=quote(G),

I'm moving from Ubuntu to CentOS 7 Previously, on Ubuntu, installing amavisd would lead to etc/amavis/conf.d that contained: 01-debian 05-domain_id 05-node_id 15-av_scanners 15-content_filter_mode 20-debian_defaults 21-ubuntu_defaults 25-amavis_helpers 30-template_localization 40-policy_banks 50-user However installing amavisd on centos leads to a spaghetti config file (i.e.

Hi Rosa, You pass a vector to ggplot, which expects a data.frame. I am sure you meant to do this: point7$y_point7 <- point7$beta0_7 + point7$beta1_7*point7$time + point7 $epsilon_7 ggplot(point7, aes(time, y_point7)) + geom_line() HTH Ulrik On Wed, 19 Jul 2017 at 20:37 Rosa Oliveira <rosita21 at gmail.com> wrote: > Hi everyone, > > I?m trying to do a spaghetti plot and I

Hi everyone, I?m trying to do a spaghetti plot and I know I?m doing all wrong, It must be. What I need: 15 subjects, each with measurements over 5 different times (t1, ..., t5), and the variable that I need to represent in the spaguetti plot is given by: PCR = b0 + b1 * ti + epsilon B0, - baseline of each subject B1 - trajectory of each subject over time (so multiply by t) Epsilon - error

----- Original Message ----- > From: "Rafael Espíndola via llvm-dev" <llvm-dev at lists.llvm.org> > To: "Yaron Keren" <yaron.keren at gmail.com> > Cc: "llvm-dev" <llvm-dev at lists.llvm.org>, "Arseny Kapoulkine" <arseny.kapoulkine at gmail.com> > Sent: Tuesday, January 26, 2016 9:39:34 AM > Subject: Re: [llvm-dev] lld:

I have two CentOS-6.4 servers, in different places. I am running postfix/amavis on one, and sendmail/procmail on the other. I don't recall having any difficulty setting up sendmail many years ago using sendmail.mc . But I found postfix very complicated to setup last year. (It's working fine now.) I recall that when I asked for advice one person advised me to read 2 books on postfix, and

I'm using groupedData from nlme. I set up a groupedData data.frame with outer=~group1. When I try to plot with outer=TRUE, I get "subscript out of bounds." This happens most of the time. When it works, I get spaghetti-type plots for comparing groups. But I don't understand why it doesn't usually work. > longa.mod.1.gd <- groupedData(mod1.logit~time|

I currently have an AGI that calls the Festival text2wave app to write a wav file that my dialplan plays into a call with the Background() command. But the voice sounds terrible: like SAM, the 1980s 6502 voice synthesizer. I tried to slow it down by calling (text2wav -eval "(Parameter.set 'Duration_Stretch 1.4)" -scale 2.0 [...]), but it still sounds like it's talking while

Hi Ruser I'm trying to replicate some SAS code. I have to add a spline to my longitudinal spaghetti plot. I have the plot, but I can't add the spline, a overall trend line. In the SAS code they use the command 'I=SM50S' and I would prefer something similar. I?m using R 2.10.1 on windows XP? I have made this working example. tolerance.pp <-

Dear all, in one part of my code I want to sum two vectors element-wise the problem is that either the 1st vector or the 2nd vector always have one or two less elements example of my problem In TotalVector + (datalist2[[1]]$dataset$Results[[j]]$Results[[time]]$Sweep) :   Länge des längeren Objektes          ist kein Vielfaches der Länge des kürzeren Objektes Browse[1]> str(TotalVector)  int

The context issue may be solved by making all functions and context data members of a class. Sort of having the convenience of global variables accessible from all linker functions but without the regular global variable problems of initializing and re-entry. so the class is suitable aspart of a library. Most clang and LLVM classes works this way, not passing contexts around. 2016-01-22 6:25

I think I have an idea to cover your need and possibly other people's on this thread. It provides the "main() as a library function" feature, input/output files wouldn't go through disks nor file systems, and it doesn't require any major design changes. Sounds too good? That is, we can provide a function that takes command line parameters, do fork, and call the linker's

If you want to link ELF object files, you are likely to be using a Unix machine. I'm not trying to address all possible problems but suggesting a practical solution. On Fri, Jan 22, 2016 at 9:49 AM, Yaron Keren <yaron.keren at gmail.com> wrote: > On Windows fork() is not available. If exec() is used instead, process > creation time is several times slower than Linux. This may be

> Also, one of the other possible motivations of using LLD directly from Clang would be to avoid process overhead on operating systems where that is a much more significant part of the compile time cost. We could today actually take the fork out of the Clang driver because the Clang frontend *is* designed in this way. But we would also need LLD to work in this way. Then go change clang and

On Thu, Sep 06, 2018 at 12:05:20PM +0800, Jason Wang wrote: > If we're sure not to go native XDP, there's no need for several things > like bh and rcu stuffs. > > Signed-off-by: Jason Wang <jasowang at redhat.com> True... > --- > drivers/net/tun.c | 9 ++++++--- > 1 file changed, 6 insertions(+), 3 deletions(-) > > diff --git a/drivers/net/tun.c

I'm forwarding the answer from my colleague: release notes: - provide two new subroutines available for calling from config files: include_config_files() and include_optional_config_files(), each take a list of filenames as arguments, and reads & evaluates them just like normal configuration files specified on a command line (option -c or a default amavisd.conf). This provides a