similar to: Scatterplot of many variables against a single variable

LOL. Great reply Jim. (N.B. Jim's conclusion is "debatable" by a judicious choice of seed. e.g. set.seed(79) suggests that making the request more readable will actually lower the number of useful answers. :-)) On Mon, Nov 27, 2017 at 11:42 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Engin, > Sadly, your illustration was ambushed on the way to the list. Perhaps

Dear Berger and Jim Can you see my eviews example in the annex? (scattersample.jpg) Sincerely Engin 2017-11-27 13:27 GMT+03:00 Eric Berger <ericjberger at gmail.com>: > LOL. Great reply Jim. > (N.B. Jim's conclusion is "debatable" by a judicious choice of seed. e.g. > set.seed(79) suggests that making the request more readable will actually > lower the number of

Hi Engin, Sadly, your illustration was ambushed on the way to the list. Perhaps you want something like this: # proportion of useful answers to your request pua<-sort(runif(20)) #legibility of your request lor<-sort(runif(20))+runif(20,-0.5,0.5) # is a data set provided? dsp<-sort(runif(20))+runif(20,-0.5,0.5) # generate a linear model for the above pua.lm<-lm(pua~lor+dsp) # get the

You do not appear to have read the Posting Guide mentioned at the bottom if this and every posting on the mailing list. Only a very few attachment types are allowed through the mailing list... and due to the way many email programs fail to identify them properly, even those few types may not make it through. Also, this is a plain text email list... any time you send HTML-formatted email it gets

> On 27 Nov 2017, at 11:56, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > > Dear > > I try to realize one scatter matrix which draws *one single variable to all > variables* with *regression line* . You can see my eviews version in the > annex . > > How can I draw this graph with R studio? A tiny note; You do calculations in R not RSudio. RStudio is a tool

> On 27 Nov 2017, at 13:59, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > > Dear Berger and Jim > > Can you see my eviews example in the annex? (scattersample.jpg) > > Sincerely > Engin Please, use an image hosting service (i.e. https://imgbb.com/) to share images in the list and share the link in the email.

Dear R Staff My working file is in the annex. "g1.csv" I have only 2 columns. Rice and coke. I try to execute following(below) function, but do not work. Because "Coke" value has NA values. I try to add "na.rm=True" to the function but do not work How can I solve this problem with this function or another algorithm? (Note: I have normally 450 columns) Sincerely

Dear R Staff You can see my data.csv file in the annex. I try to count non-zero values in dataset but I need to exclude NA in this calculation My code is very long (following), How can I write this code more efficiently and shortly? ## [NA_Count] - Find NA values data.na =sapply(data[,3:ncol(data)], function(c) sum(length(which(is.na (c))))) ## [Zero] - Find zero values

> On 27 Oct 2017, at 10:43, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > > Dear R Staff > > My working file is in the annex. "g1.csv" > I have only 2 columns. Rice and coke. > I try to execute following(below) function, but do not work. > Because "Coke" value has NA values. > I try to add "na.rm=True" to the function but do not

What was suggested by Eric and Rui works well, but here is a short and may be simpler answer provided your data is similar what Eric posted. It should work for your l data too. aa <- is.na(data)|data==0 nrow(data)-colSums(aa) EK On Sun, Oct 29, 2017 at 6:25 AM, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > Dear R Staff > > You can see my data.csv file in the annex. >

Since i could not see your data, the easiest thing comes to mind is court values excluding NAs, is something like this sum(!is.na(x)) Best of luck--EK On Sun, Oct 29, 2017 at 6:25 AM, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > Dear R Staff > > You can see my data.csv file in the annex. > > I try to count non-zero values in dataset but I need to exclude NA in this >

Dear R Staff This is my file (www.fiscalforecasting.com/data.csv) if you don't download this file, my dataset same as following Year Month A B C D E 2005 July 0 *4* NA NA *1* 2005 July 0 NA NA 0 *9* 2005 July NA *4* 0 *1* 0 2005 July *4* 0 *2* *9* NA I try to count non-zero values which are not NA values for every *column* *Sincerely* *Engin YILMAZ*

Le mercredi 08 avril 2020 ? 02:55 -0700, Gabriel Becker a ?crit : > Hi Paul, Hi Gabriel, Thanks a lot for the testing. > The various font family settings seem to work too, from what I can > tell. Both font families you suggested, however, Helvetica and Apple > Symbols (the s is important) have significantly incomplete coverage > with PUA on. That is to be expected, the AMS

Dear I use dataset , as called "mpg" This is code ggplot(data=mpg)+ geom_point(mapping = aes(x=displ, y=hwy, colour=year)) But I would like to see only "year of 1999" in this relationship between x and y variables How could I change the code in this direction? I found the following code library(dplyr)year_1999 <- filter(mpg, year=="1999")ggplot(year_1999,

I am not seeing that problem on my 18.04 ... > sessionInfo() R version 4.0.0 Patched (2020-05-12 r78431) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 18.04.4 LTS Matrix products: default BLAS: /home/pmur002/R/R-4-0-branch/BUILD/lib/libRblas.so LAPACK: /home/pmur002/R/R-4-0-branch/BUILD/lib/libRlapack.so locale: [1] LC_CTYPE=en_NZ.UTF-8 LC_NUMERIC=C [3]

I was actually able to reproduce this on a relatively fresh install of 18.04 (a virtualbox). Paul, did you run apt update && apt upgrade before trying to reproduce? On Tue, May 26, 2020 at 4:36 PM Kenny Bell <kmbell56 at gmail.com> wrote: > Hi Paul, > > I tried downgrading to R 3.4.4 and I still see the problem. I also have a > conda environment that doesn't exhibit

Hello, Your attachment didn't came through, R-Help strips off most types of files, including CSV. Anyway, the following will do what I understand of your question. Tested with a fake dataset. set.seed(3026) # make the results reproducible data <- matrix(1:100, ncol = 10) data[sample(100, 15)] <- 0 data[sample(100, 10)] <- NA data <- as.data.frame(data) zero <-

Hi All, I am doing econometric modeling of panel data (fixed effects). We currently use Eviews to do this, but I have discovered a bug in Eviews 7 and am exploring the use of R to build panel data models / longitudinal data models. I looked at the plm package but do not see how I can incorporate AR terms in the model using the plm package. I have an Eviews model with two AR terms, AR(1) and

In the vcdExtra package on R-Forge, I have functions and generic methods for calculating log odds ratios for R x C x strata tables. I'd like to define methods for fitting weighted lm()s to the resulting loddsratio objects, but I'm having problems figuring out how to do this generally. # install.packages("vcdExtra", repos="http://R-Forge.R-Project.org")

Rob J Hyndman gives great explanation here (https://robjhyndman.com/hyndsight/estimation/) for reasons why results from R's arima may differ from other softwares. @iacobus, to cite one, 'Major discrepancies between R and Stata for ARIMA' (https://stackoverflow.com/questions/22443395/major-discrepancies-between-r-and-stata-for-arima), assign the, sometimes, big diferences from R