search for: mpg

...ntpoint [-o options,...] Version 2.2.9 [root@jonspc bin]# uname -a Linux jonspc 2.4.20-8 #1 Thu Mar 13 17:18:24 EST 2003 i686 athlon i386 GNU/Linux [root@jonspc record]# ls -lt total 25793202411 -rwxr-xr-x 1 root root 18446744071562071792 Jun 9 02:46 Channel 4 - 2004,06,09 00,23,13_001.mpg -rwxr-xr-x 1 root root 2147477442 Jun 9 01:34 Channel 4 - 2004,06,09 00,23,13.mpg -rwxr-xr-x 1 root root 894211652 Jun 8 23:39 BBC TWO - 2004,06,08 13,47,17_007.mpg -rwxr-xr-x 1 root root 2147464426 Jun 8 23:02 BBC TWO - 2004,06,08 13,47,17_006.mpg -rwxr-xr-x...

...xorg Version: git Hardware: Other OS: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau Assignee: nouveau at lists.freedesktop.org Reporter: pmenzel+bugs.freedesktop at molgen.mpg.de QA Contact: xorg-team at lists.x.org Created attachment 138869 --> https://bugs.freedesktop.org/attachment.cgi?id=138869&action=edit Linux 4.14.30 messages With Linux 4.14.30, X.Org X Server 1.19.3, libdrm 2.4.89 and Nouveau 1.0.15, the X session of a user was just black comin...

...nman: False/0 smb: False/0 rpc_parse: False/0 rpc_srv: False/0 rpc_cli: False/0 passdb: False/0 sam: False/0 auth: False/0 winbind: False/0 vfs: False/0 idmap: False/0 doing parameter passdb backend = ldapsam:ldap://localhost:389 doing parameter ldap suffix = dc=eva,dc=mpg,dc=de doing parameter ldap admin dn = cn=manager,dc=eva,dc=mpg,dc=de doing parameter ldap filter = (&(objectclass=sambaSamAccount)(uid=%u)) doing parameter ldap machine suffix = ou=machines doing parameter ldap user suffix = ou=users doing parameter idmap backend = ldap doing parameter ldap idm...

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 &l...

...do instead? Background: I am building a Shiny app that displays a histogram below a bar chart for a set of data that a user uploads to the app. If you want to see the app, go here http://spark.rstudio.com/jclow/Archive20130725HistogramApp/ To run the app, select ?Use Sample Data? , then select ?MPG.city? under choose a column, then finally select box plot. Sample code: Below is a snippet of my code to demonstrate the problems I have. library(ggplot2) #sample data from ggplot2 data(Cars93, package = "MASS") dataSet <- Cars93 #variables to calculate the range to extend the axi...

...ld be different symbols and colors. It should represent what is in the legend. I tried using the points command but this does not work. Is there another command in R that would allow me to use different symbols and colors for the points? Thank you kindly. data(mtcars) plot(mtcars$wt,mtcars$mpg,xlab= "Weight(lbs/1000)", ylab="Miles per Gallon") mtcars$wt.cyl<-mtcars$wt[mtcars$cyl] mtcars$mpg.cyl<-mtcars$mpg[mtcars$cyl] points(mtcars$wt.cyl, mtcars$mpg.cyl, pch = 17, col = "red") title("Motor Trend Data") text(2,10,"LTR",cex=1.2,...

...model frame, with parenthesised names such as \code{"(offset)"}.} This is only true for model.frame() methods but not get_all_vars(). For get_all_vars(), arguments passed to '...' are only ever treated as variables to add to the data frame. See for example: > str(model.frame(mpg ~ wt, data = mtcars, subset = am == 1), give.attr = FALSE) 'data.frame': 13 obs. of 2 variables: $ mpg: num 21 21 22.8 32.4 30.4 33.9 27.3 26 30.4 15.8 ... $ wt : num 2.62 2.88 2.32 2.2 1.61 ... > str(get_all_vars(mpg ~ wt, data = mtcars, subset = am == 1), give.attr = FALSE) ...

...one. My question is: how can I use fewer lines of code (for example using a for loop, a function or plyr) to achieve the same output as below? data(mtcars) # Apply the same model to the dataset but choosing different combinations of dependent (DV) and independent (IV) variables in each case: lm.mpg= lm(mpg~cyl+disp+hp, data=mtcars) lm.drat = lm(drat~wt+qsec, data=mtcars) lm.gear = lm(gear~carb+hp, data=mtcars) # Plot residuals against fitted values for each model plot(lm.mpg$fitted,lm.mpg$residuals, main = "lm.mpg") plot(lm.drat$fitted,lm.drat$residuals, main = "lm.drat")...

...;s structure: > str(mdat) 'data.frame': 6978 obs. of 4 variables: $ VehType : Factor w/ 2 levels "Car","Truck": 1 1 2 1 1 2 1 1 1 1 ... $ Year : Factor w/ 6 levels "2003","2004",..: 5 1 5 6 6 2 2 3 2 5 ... $ variable: Factor w/ 1 level "mpg": 1 1 1 1 1 1 1 1 1 1 ... $ value : num 22.4 21.5 22.6 22.4 25 ... For the purpose of testing, I have stripped out all the variables except for "mpg." Casting it without specifying any ids or variables works fine: > cast(mdat,,mean) VehType Year mpg 1 Car 2003 22....

...confirmation that that's the right way to go. So, any suggestions? To give a concrete example, here's something based on the mtcars dataset that more-or-less shows what I want, aside from the complication that my dataset is much larger: ## Make some sample data. mtc <- within(mtcars, mpg.pred <- predict(lm(mpg~wt))) hp.cut <- 25*mtc$hp%/%25 mtc.agg <- merge(aggregate(mtc[,c("mpg","mpg.pred")], list(hp.cut=hp.cut), mean), aggregate(list(count=rep(1,nrow(mtc))), list(hp.cut=hp.cut), sum)) ## Is there an easier way to do this aggregation? ## Basic plot wi...

...is to allow one-liner expressions without typing "function(item) {...}" to surround them. The argument to the anonymous function is simply referred as ".". Let take an example. With this new feature, the following call sapply(split(mtcars, mtcars$cyl), function(d) summary(lm(mpg ~ wt, d))$r.squared) #??????? 4???????? 6???????? 8 #0.5086326 0.4645102 0.4229655 could be rewritten as sapply(split(mtcars, mtcars$cyl), summary(lm(mpg ~ wt, .))$r.squared) "Not a big saving in typing" you can say but multiplied by the number of [lsv]apply usage and a neater look,...

...pes" replicated? The other problem is that the vacation response is coming from the wrong address depending on which field the recipient was listed: "to:" or "cc:" Here is my test example: g9-rz has the vacation rule set up: date | mail -s test -r jbehrend at mpifr-bonn.mpg.de -c g9-rz at mpifr-bonn.mpg.de jan at flatpick.de and this returns this vacation response: ### snip ### Return-Path: <> Delivered-To: <jbehrend at mpifr-bonn.mpg.de> Received: from mail2.mpifr-bonn.mpg.de ([134.104.18.60]) by mailbox2.mpifr-bonn.mpg.de (Dovecot) with LMTP id +pgPDz...

Before I go and do this another way - can I check if anyone has a way of looping through data in odfWeave (or possibly sweave) to do a repeating analysis on subsets of data? For simplicity lets use mtcars dataset in R to explain. Dataset looks like this: > mtcars mpg cyl disp hp drat wt ... Mazda RX4 21.0 6 160 110 3.90 2.62 ... Mazda RX4 Wag 21.0 6 160 110 3.90 2.88 ... Datsun 710 22.8 4 108 93 3.85 2.32 ... ............ Say I wanted to have a 'catalogue' style report from mtcars, where on each page I would perhaps h...

Dear all Is there an easy way to display only one half (top-right or bottom-left) of a correlation matrix? > require(Hmisc) > rcorr(as.matrix(mtcars[ , 1:4])) mpg cyl disp hp mpg 1.00 -0.85 -0.85 -0.78 cyl -0.85 1.00 0.90 0.83 disp -0.85 0.90 1.00 0.79 hp -0.78 0.83 0.79 1.00 n= 32 P mpg cyl disp hp mpg 0 0 0 cyl 0 0 0 disp 0 0 0 hp 0 0 0 Since the two sides are identical, there is little v...

...ings for quite a while (ever?) but I noticed while running tests that it acts differently in R-3.4.0 than in R-3.3.3. Neither the old or new behavior is nice. E.g., in R-3.3.3 we get > parseEval <- function(text, envir) eval(parse(text=text), envir=envir) > parseEval('lattice::xyplot(mpg~hp, data=datasets::mtcars)$call', envir=new.env()) xyplot(expr, envir, enclos) and > evalInEnvir <- function(call, envir) eval(call, envir=envir) > evalInEnvir(quote(lattice::xyplot(mpg~hp, data=datasets::mtcars)$call), envir=new.env()) xyplot(expr, envir, enclos) while in R-3.4.0 w...

Hi, I am wondering if anyone knows of an easy way to fit a saturated model using the sem package on raw data? Say the data were: mtcars[, c("mpg", "hp", "wt")] The model would estimate the three means (intercepts) of c("mpg", "hp", "wt"). The variances of c("mpg", "hp", "wt"). The covariance of mpg with hp and wt and the covariance of hp with wt. I am i...

I'm sure this exists elsewhere, but, as a trade-off, could you achieve what you want with a separate helper function F(expr) that constructs the function you want to pass to [lsv]apply()? Something that would allow you to write: sapply(split(mtcars, mtcars$cyl), F(summary(lm(mpg ~ wt,.))$r.squared)) Such an F() function would apply elsewhere too. /Henrik On Thu, Apr 16, 2020 at 9:30 AM Michael Mahoney <mike.mahoney.218 at gmail.com> wrote: > > This syntax is already implemented in the {purrr} package, more or > less -- you need to add a tilde before your...

In ggplot2, I would like to make a boxplot that has the following properties: (1) Contrary to default, the meaningful axis should be the horizontal axis. Lattice does this, for instance, by library(lattice);bwplot(~mtcars$mpg) (2) It is *univariate*, i.e., of a single vector, say mtcars$mpg. I do not wish to make separate plots for the different values of mtcars$cyl. (3) Nothing on the meaningless axis--the axis that does not correspond to values of mtcars$mpg, the axis which by default is horizontal--should suggest...

hi list, i recently recognized, that winbind on my fileserver (needed for allocating SID->UIDs when setting ACL's from windows box) adds ldap attributes although the SID already exists !!??!?! example i have a user "install" # install, users, eva.mpg.de dn: uid=install,ou=users,dc=eva,dc=mpg,dc=de objectClass: posixAccount objectClass: person objectClass: sambaSamAccount cn: install uid: install sn: install displayName: install uidNumber: 837 gidNumber: 500 sambaSID: S-1-5-21-3833542193-1936992747-4175797896-2674 sambaPrimaryGroupSID: S-1-5-21-...

Dear R users, Does the results below make any sense? Can the the interval of the correlation coefficient be between *-1.0185* and -0.8265 at 95% confidence level? Liviu > library(boot) > data(mtcars) > with(mtcars, cor.test(mpg, wt, met="spearman")) Spearman's rank correlation rho data: mpg and wt S = 10292, p-value = 1.488e-11 alternative hypothesis: true rho is not equal to 0 sample estimates: rho -0.88642 Warning message: In cor.test.default(mpg, wt, met = "spearman") : Cannot comput...