search for: min

...add them together. However, when I attempt to assign this code to a variable, any time I use the variable, it will always give me the same numbers instead of being random every time. Is there a way I can do this so that it is random every time? Here is the code I am currently using: .35*(runif(1, min=.81, max=1.03)+runif(1, min=1.06, max=1.17)+runif(1, min=-.26, max=1.38))+.3*(runif(1, min=.36, max=.98)+runif(1, min=.76, max=.93)+runif(1, min=.52, max=1.03))+.2*(runif(1, min=.36, max=.75)+runif(1, min=.1, max=.67)+runif(1, min=.9, max=.96))+.15*(runif(1, min=.03, max=.2)+runif(1, min=.27, max=....

Hello everyone, I am using *mlogit* to analyse my choice experiment data. I have *3 alternatives* for each individual and for each individual I have *9 questions*. I have a response from *516 individuals*. So it is a panel of 9*516 observations. I have arranged the data in long format (it contains 100 columns indicating different variables and identifiers). In mlogit I tried the following

...z memory - host kernel: *) Using 3.6-rc0 from target-pending/for-linus *) qemu vhost-scsi from nab's qemu-kvm.git/vhost-scsi on k.o *) Set QEMU vCPU process affinity to dedicated cpus based on 'info cpus' (as recommended by Stefan) target backstores + vhost configuration from rtsadmin/targetcli shell: /> ls backstores/rd_mcp/ o- rd_mcp ................................................. [32 Storage Objects] o- ramdisk0 .............................................. [ramdisk activated] o- ramdisk1 .............................................. [ramdisk activated] o- ramdi...

...z memory - host kernel: *) Using 3.6-rc0 from target-pending/for-linus *) qemu vhost-scsi from nab's qemu-kvm.git/vhost-scsi on k.o *) Set QEMU vCPU process affinity to dedicated cpus based on 'info cpus' (as recommended by Stefan) target backstores + vhost configuration from rtsadmin/targetcli shell: /> ls backstores/rd_mcp/ o- rd_mcp ................................................. [32 Storage Objects] o- ramdisk0 .............................................. [ramdisk activated] o- ramdisk1 .............................................. [ramdisk activated] o- ramdi...

Dear help-list, I would like to perform a linear regression on the log10 of the two vectors ov.mag.min and res.600nm. The slope and intercept of the regression I use to plot a wider range of ov.mag.min in a double log plot. For a linear regression on only tow points, wouldn't I expect the results for two.points.min to match pretty exactly res.600nm? It does not seem to be the case here. I ma...

...being told! Thank you, John values <- c((0:99),c(0.9:99.9)) sort(values) c1<-cut(values,10,include.lowest=FALSE,right=TRUE) c2<-cut(values,10,include.lowest=FALSE,right=FALSE) c3<-cut(values,10,include.lowest=TRUE,right=TRUE) c4<-cut(values,10,include.lowest=TRUE,right=FALSE) cbind(min=aggregate(values,list(c1),min),max=aggregate(values,list(c1),max)) cbind(min=aggregate(values,list(c2),min),max=aggregate(values,list(c2),max)) cbind(min=aggregate(values,list(c3),min),max=aggregate(values,list(c3),max)) cbind(min=aggregate(values,list(c4),min),max=aggregate(values,list(c4),max))...

Hi, I have a fairly simple linear regression using the lm function. There are about 100 variables and 30,000 rows of data. It runs fine and produces a decent looking R2 value. I'm interested in performing a stepwise variable selection to see if things can be cleaned up a bit. Calling the step function returns ONE iteration (all the variables) and then stops. No errors are reported. Can someone suggest why this might not be working as expected. (Normally this function steps through all the va...

...an.default(data[x, , drop = FALSE], ...) : argument is not numeric or logical: returning NA However, the same by() function works for FUN=summary, given below is the output: > by(data=mtcars, INDICES=list(mtcars$am), FUN=summary) : 0 mpg cyl disp hp Min. :10.40 Min. :4.000 Min. :120.1 Min. : 62.0 1st Qu.:14.95 1st Qu.:6.000 1st Qu.:196.3 1st Qu.:116.5 Median :17.30 Median :8.000 Median :275.8 Median :175.0 Mean :17.15 Mean :6.947 Mean :290.4 Mean :160.3 3rd Qu.:19.20 3rd Qu.:8.000 3rd Qu.:360.0 3rd...

...and cannot be handled independently which used to be possible with the old xen kernel. If further information would be useful please let me know. Thanks, James # xenpm get-cpufreq-para cpu id : 0 affected_cpus : 0 2 3 4 5 6 7 8 9 10 11 cpuinfo frequency : max [2000000] min [800000] cur [800000] scaling_driver : scaling_avail_gov : userspace performance powersave ondemand current_governor : ondemand ondemand specific : sampling_rate : max [10000000] min [10000] cur [20000] up_threshold : 80 scaling_avail_freq : 2000000 1500000 13000...

Um texto embutido e sem conjunto de caracteres especificado associado... Nome: n?o dispon?vel Url: https://stat.ethz.ch/pipermail/r-help/attachments/20070109/d9ceecae/attachment.pl

Hello, Thank you ! I add server min protocol = SMB2_02 to smb.cnf All clients are now using SMB2_10 as minimum protocol version May you indicate me the difference between "client min protocol" and "server min protocol" ? "server min protocol" is to use on a domain member "client min protocol&quot...

Good day Im working with some coordinates, and want to create a PPP object, I found that error: > Datos=read.table("puntos_texto.txt",dec=".",sep="\t",header=T) > summary(Datos) id y x Min. : 1.0 Min. :1013581 Min. :1177842 1st Qu.: 821.2 1st Qu.:1014442 1st Qu.:1179658 Median :1641.5 Median :1014455 Median :1179670 Mean :1641.8 Mean :1014465 Mean :1179652 3rd Qu.:2462.8 3rd Qu.:1014473 3rd Qu.:1179680 Max. :3283.0 Max. :101...

...; >values <- c((0:99),c(0.9:99.9)) >sort(values) >c1<-cut(values,10,include.lowest=FALSE,right=TRUE) >c2<-cut(values,10,include.lowest=FALSE,right=FALSE) >c3<-cut(values,10,include.lowest=TRUE,right=TRUE) >c4<-cut(values,10,include.lowest=TRUE,right=FALSE) >cbind(min=aggregate(values,list(c1),min),max=aggregate(values,list(c1),max)) >cbind(min=aggregate(values,list(c2),min),max=aggregate(values,list(c2),max)) >cbind(min=aggregate(values,list(c3),min),max=aggregate(values,list(c3),max)) >cbind(min=aggregate(values,list(c4),min),max=aggregate(values,list...

...being told! Thank you, John values <- c((0:99),c(0.9:99.9)) sort(values) c1<-cut(values,10,include.lowest=FALSE,right=TRUE) c2<-cut(values,10,include.lowest=FALSE,right=FALSE) c3<-cut(values,10,include.lowest=TRUE,right=TRUE) c4<-cut(values,10,include.lowest=TRUE,right=FALSE) cbind(min=aggregate(values,list(c1),min),max=aggregate(values,list(c1),max)) cbind(min=aggregate(values,list(c2),min),max=aggregate(values,list(c2),max)) cbind(min=aggregate(values,list(c3),min),max=aggregate(values,list(c3),max)) cbind(min=aggregate(values,list(c4),min),max=aggregate(values,list(c4),max))...

Hello, I have defined a new class > setClass("myclass", representation(min = "numeric", max = "numeric")) and want to write accessor functions, so that for > foo = new("myclass", min = 0, max = 1) > min(foo) # prints 0 > max(foo) # prints 1 At first i created a generic function for "min" > setGeneric("min",...

...> argument is not numeric or logical: returning NA > > However, the same by() function works for FUN=summary, given below is the > output: > > > by(data=mtcars, INDICES=list(mtcars$am), FUN=summary) > : 0 > mpg cyl disp hp > Min. :10.40 Min. :4.000 Min. :120.1 Min. : 62.0 > 1st Qu.:14.95 1st Qu.:6.000 1st Qu.:196.3 1st Qu.:116.5 > Median :17.30 Median :8.000 Median :275.8 Median :175.0 > Mean :17.15 Mean :6.947 Mean :290.4 Mean :160.3 > 3rd Qu.:19.20 3rd Qu.:8.000...

Hello, I get > summary(E) level nodes ave_nodes time Min. : 1 Min. : 1.00 Min. : 10.71 Min. : 0.0000 1st Qu.: 237414 1st Qu.: 2.00 1st Qu.: 19.70 1st Qu.: 0.0100 Median : 749229 Median : 3.00 Median : 27.01 Median : 0.0100 Mean : 767902 Mean : 49.85 Mean : 98.89 Mean : 0.2296 3rd Qu.:111...

I have observed the following differences in the use of min/max functions between R and Splus (4.5) R (0.64.1): min(c(NA,NA,NA),na.rm=T) returns the following Warning in min(..., na.rm = na.rm) : no finite arguments to min/max; returning extreme. [1] 2147483647 S-Plus 4.5( Win32 edition) min(c(NA,NA,NA),na.rm=T) returns [1] NA The S-PLUS behavio...

...unpaired.test(verification.plots=verification.plots, project.n=30, project.mean=100, project.sd=10, allowed.deviation=.05, project.acres=99) out.unpaired.test # sequential.unpaired<- function(number.strata, project.n, project.mean, project.sd, verification.plots,allowed.deviation, project.acres, min.plots="default", alpha=.05){ if(min.plots=="default"){ min.plots<-NULL # minimum passing if(number.strata == 1 & project.acres <= 100){ min.plots = 8 } else if(number.strata == 1 & project.acres > 100 & project.acres < 500){ min.plots = 12 } else i...

...e "invisible" line. Results got saved and accessible but no printout. How can I have both printout and also have the results saved? Thank you! > dstat4 <- function(data,digits=3){ +?? Mean??? <- apply(data,2,mean,na.rm=TRUE) +?? Std.dev <- apply(data,2,sd,? na.rm=TRUE) +?? Min <- apply(data,2,min,na.rm=TRUE) +?? Max <- apply(data,2,max,na.rm=TRUE) +?? Obs <- dim(data)[1] +?? out <-round(cbind(Mean,Std.dev,Min,Max,Obs),digits) +?? out + # invisible(list(Mean=Mean,Std.dev=Std.dev,Min=Min,Max=Max)) + } > x1<-rnorm(n=5,mean=5, sd=1) > x2<-rnorm(n=5,...