similar to: Quantile Regression Question

Hi All, I am running quantile regression in a "for loop" starting with 1 variable and adding a variable at a time reaching a maximum of 20 variables. I get the following warning messages after my "for" loop runs. Should I be concerned about these messages? I am building predictive models and am not interested in inference. Warning messages: 1: In

Hello. I am a beginer in R and I can not implement the KhmaladzeTest in the following command. Please help me!!!!!!!!!!! PD: I attach thw results and the messages of the R program R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.1 (2006-06-01) ISBN 3-900051-07-0 R es un software libre y viene sin GARANTIA ALGUNA. Usted puede redistribuirlo bajo ciertas

Dear Sir/Madam, I am encountering one of those alien computer momements one finds every so often in life. See the sequence below: > fish3.fis <-read.csv("emperor2.csv", check.names = TRUE, strip.white = TRUE) > colnames(fish3.fis) [1] "Month" "Year" "FishingArea" "SumOfTotalCatch" "CPUE" [6]

I have a TDM-400P with one FXO module. On an incoming call, I have set Asterisk to dial my phone (exten => s,1,Dial(IAX2/carey)), which is basically the only thing in my dialplan. When the call is answered by the PSTN phone first, or when the ringing call is hung up, Asterisk keeps ringing for 5+ seconds, which causes trouble (the answering of already answered calls). I noticed in the

Hi, Is there a way to tell / narrow down if an issue with errors like below are due to a bad cable or bad port multiplier ? The disks in a particular cage are throwing errors like these below. (RELENG9 from today) siis0 at pci0:5:0:0: class=0x010400 card=0x71241095 chip=0x31241095 rev=0x02 hdr=0x00 vendor = 'Silicon Image, Inc.' device = 'SiI 3124 PCI-X Serial

Always via logical expressions. In this case you can use the logical expression myDF$b != "0" to give you a vector of TRUE/FALSE B. > On Sep 25, 2017, at 8:00 AM, Shane Carey <careyshan at gmail.com> wrote: > > This is super, really helpfull. Sorry, one final question, lets say I wanted to remove 0's rather than NAs , what would it be? > > Thanks >

myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"), b = c("<0.1", 1, 0.3, 5, "Nil"), stringsAsFactors = FALSE) # you can subset the b-column in several ways myDF[ , 2] myDF[ , "b"] myDF$b # using the column, you make a logical vector ! is.na(as.numeric(myDF$b)) # This can be used to select the

This is super, really helpfull. Sorry, one final question, lets say I wanted to remove 0's rather than NAs , what would it be? Thanks On Mon, Sep 25, 2017 at 12:41 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote: > myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"), > b = c("<0.1", 1, 0.3, 5, "Nil"), >

Hi, Lets say this was a dataframe where I had two columns a <- c("<0.1", NA, 0.3, 5, "Nil") b <- c("<0.1", 1, 0.3, 5, "Nil") And I just want to remove the rows from the dataframe where there were NAs in the b column, what is the syntax for doing that? Thanks in advance On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <careyshan at

Hello, does anyone know how to take the mean for a subset of observations? For example, suppose my data looks like this: OBS NAME SCORE 1 Tom 92 2 Tom 88 3 Tom 56 4 James 85 5 James 75 6 James 32 7 Dawn 56 8 Dawn 91 9 Clara 95 10 Clara 84 Is there a way to get

Super, Thanks On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote: > > a <- c("<0.1", NA, 0.3, 5, "Nil") > > a > [1] "<0.1" NA "0.3" "5" "Nil" > > > b <- as.numeric(a) > Warning message: > NAs introduced by coercion > > b > [1] NA NA 0.3

Has anyone successfully incorporated a Win95 app that uses FlexLM license manager on a Samba file system. I would be extremely interested in talking with you as we are trying to install Parametric Technology's ProEngineer on our Samba file server. We do have a copy of the Unix version of the license manager, but I am not sure how I can get the Win95 client to talk to it. Any and all

quantreg package is used. *fit1 results are* Call: rq(formula = op ~ inp1 + inp2 + inp3 + inp4 + inp5 + inp6 + inp7 + inp8 + inp9, tau = 0.15, data = wbc) Coefficients: (Intercept) inp1 inp2 inp3 inp4 inp5 -0.191528450 0.005276347 0.021414032 0.016034803 0.007510343 0.005276347 inp6 inp7 inp8 inp9 0.058708544

Dear all, from the help page of quantile: "x ??? numeric vectors whose sample quantiles are wanted. Missing values are ignored." from the help page of IQR: "x ??? a numeric vector." as a matter of facts it seems that both quantile() and IQR() do not check for the presence of a numeric input. See the following: set.seed(11) x <- rbinom(n=11,size=2,prob=.5) x <-

Hello, what I want to do, is, to write every element of a variable into a separate text-file automatically: My Variable: > wull [1] "Hallo Leute, wie gehts denn euch seid ihr noch alle..." [2] "Is their anyone how can help me with..." [3] "mann, mann, mann... das nervt aber.." [4] "how are you littele strange tiger..."

I am new to R and have two scripts written slightly different but should to relatively the same thing but my lack of experience with the program I can not figure out the what I need to do to correct it. The first script gives me a consistent mean fold change values with every run but can generate negative p values for some. For the second version of the script, the fold changes seem to be very

> a <- c("<0.1", NA, 0.3, 5, "Nil") > a [1] "<0.1" NA "0.3" "5" "Nil" > b <- as.numeric(a) Warning message: NAs introduced by coercion > b [1] NA NA 0.3 5.0 NA > b[! is.na(b)] [1] 0.3 5.0 B. > On Sep 22, 2017, at 11:48 AM, Shane Carey <careyshan at gmail.com> wrote: > > Hi,

Running rsync 2.4.7pre1, using the --backup-dir option, I just realized today that file ownerships and permissions of backed up files are not preserved. In other words, if rsync moves an obsolete file to the backup dir, it's ownership seems to revert to root:root, and permissions change, as well. We are also using the -a (archive) option, by the way, which should mean "preserve

Hi, How do I extract just numbers from the following list: a=c("<0.1",NA,0.3,5,Nil) so I want to obtain: 0.3 and 5 from the above list Thanks -- Le gach dea ghui, *Shane Carey* *GIS and Data Solutions Consultant* [[alternative HTML version deleted]]

Dear Sir, I am comparing two samples using wilcox.test in R. Literature appears to describe mann whitney u test as the most appropriate test to use on my data. is the wilcox.test function equivalent to mann-whitney u? Is there a way to gain the U-value as apposed to the W-value in R? Thank you