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....c Fri Oct 28 21:33:07 2011 +0800 @@ -155,11 +155,13 @@ cxpt->nr = sysctl.u.get_pmstat.u.getcx.nr; cxpt->last = sysctl.u.get_pmstat.u.getcx.last; cxpt->idle_time = sysctl.u.get_pmstat.u.getcx.idle_time; + cxpt->pc2 = sysctl.u.get_pmstat.u.getcx.pc2; cxpt->pc3 = sysctl.u.get_pmstat.u.getcx.pc3; cxpt->pc6 = sysctl.u.get_pmstat.u.getcx.pc6; cxpt->pc7 = sysctl.u.get_pmstat.u.getcx.pc7; cxpt->cc3 = sysctl.u.get_pmstat.u.getcx.cc3; cxpt->cc6 = sysctl.u.get_pmstat.u.getcx.cc6; + cxpt->cc7 = sysctl.u.get_pmstat.u.getcx.cc7;...

...I'm super-happy because I've just finished my semi-auto configurator for Windows machines ^^ I've got a question: must all the users of a VPN share all together their hosts files? i.e. PC1 is linked to PC2 -> PC1 and PC2 must have both /hosts/PC1 and hosts/PC2 PC2 is linked to PC3 -> PC2 and PC3 must have both /hosts/PC2 and /hosts/PC3 Must PC3 have /hosts/PC1 and PC1 have /hosts/PC3? Thanks :D

Heloo! I have 3 Vpn with 3 servers! pc1 with debian and adr. for ex. 10.10.10.x pc2 with debian and adr. for ex. 10.10.10.y pc3 with debian and adr. for ex. 10.10.10.z On tinc i have pc1 connect to pc2 and pc3 pc2 connect to pc1 and pc3 pc3 connect to pc1 and pc3 Evrithing works fine but i whant to connect from home to this vpn but at my home i have a pppoe (no ip adr., i have user and pass to connect yhe Internet) in wind...

...perhaps there is some sort of file format that the graph could be exported to? Any suggestions would be very much appreciated. Thanks in advance, library(rgl, pos=4) plot3d(subset(Dataset$PC1, source=="ashe_amphib"), subset(Dataset$PC2, source=="ashe_amphib"), subset(Dataset$PC3, source=="ashe_amphib"), xlim=c(-5,7), ylim=c(-5,3), zlim=c(-4,7), xlab="PC1", ylab="PC2", zlab="PC3", col=1, pch=1) points3d(subset(Dataset$PC1, source=="ashe_ZAS"), subset(Dataset$PC2, source=="ashe_ZAS"), subset(Dataset$PC3, source==&qu...

Hi, I am having difficulty entering a 'programmable' argument into the multinom function from the nnet package. Interactively, I can get the function to work fine by calling it this way: z1=multinom(formula = class.ind(grp[-outgroup])~ (PC1 + PC2 + PC3), data=data.frame(scores)) However I need to be able to change the number of variables I am looking for in 'scores' and so am trying to call it this way... z1=multinom(formula = class.ind(grp[-outgroup])~ eval(parse(text=PCnames)), data=data.frame(scores)) ...where, for example, PCnames...

Hi there: I have this configuration: |-----[Server 2] | [Internet]--------[Router]----------[Switch]------------ [Server 1] | |-----[PC1] | |-----[PC2] | |-----[PC3] Server 1 has IP 216.251.XXX.XX1 Server 2 has IP 216.251.XXX.XX2 PC1 has IP 216.251.XXX.XX3 PC2 has IP 192.168.XXX.1 PC3 has IP 192.168.XXX.2 How do I configure shorewall in SERVER 2 to block to/from the Internet Port 22 (ssh), but do not block port 22 from PC1 and PC2 and PC3 ??? Currently I ha...

...irst two principal components. 2. Perform an orthoblique rotation (quartimax rotation) on eigenvectors. 3. Assign each variable to the rotated component with which it has the higher squared correlation. The cartoon example below attempt to do this, but I found my results differ from SAS in "pc3" (i.e, the standardize component scores). I'd appreciate your help in whether you see anything wrong in "pc2" or "pc3"? set.seed(1) x1=rnorm(200); x2=0.9*x1; x3=0.7*x1; x4=x1*x1; x5=x1*x1*x1; x6=rnorm(200); x7=0.9*x6; x8=0.7*x6; x9=x6*x6; x10=x6*x6*x6; x <- cbind(...

...s put together from other data.frames. Something like: a b c d e f g v1 # # # # # # # v2 # # # # # # # v3 # # # # # # # v4 # # # # # # # v5 # # # # # # # v6 # # # # # # # I want to give the following column names to each data.frame: ("SDev", "PC1", "PC2", "PC3", "PC4", "PC5", "PC6") Works fine for one data.frame: column_names <- c("SDev", "PC1", "PC2", "PC3", "PC4", "PC5", "PC6") names( df1 ) <- column_names How is it to be done at once for al...

Hi R-community, I am doing a PCA and I need plots for different combinations of axes (e.g., PC1 vs PC3, and PC2 vs PC3) with the arrows indicating the loadings of each variables. What I need is exactly what I get using biplot (pca.object) but for other axes. I have plotted PC2 and 3 using the scores of the cases, but I don't get the arrows proportional to the loadings of each variables on each...

...e data set), to a reduced number of components, i can evaluate % of variance explained, or am I missing something?? 8 variables in the data set > princ = prcomp(df[,-1],rotate="varimax",scale=TRUE) > summary(princ) Importance of components: PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 Standard deviation 1.381 1.247 1.211 0.994 0.927 0.764 0.6708 0.4366 Proportion of Variance 0.238 0.194 0.183 0.124 0.107 0.073 0.0562 0.0238 Cumulative Proportion 0.238 0.433 0.616 0.740 0.847 0.920 0.9762 *1.0000* > princ = prcomp(df[,-1],rotate="var...

Hi, I've been able to get the data _of every individual_ into a graph (there are 16 lines), but I have a few more questions... How do I neatly get the average weights of each group (PC3/CO, PC3/FO, FADU/CO and FADU/FO) and make a graph of four lines. How do I exclude the first column (which is each animal's internal description) - there is a spot on the x axis labeled 1 - that is blank and presumably for that. I think that explains why I get 17 "NAs introduced by coercio...

...e state of the swap curve. I want to put these probabilities in my dataframe mydata(given after the prob table). Prob of States Changes State1 State2 State3 State4 a Pa1 Pa2 Pa3 Pa4 b Pb1 Pb2 Pb3 Pb4 c Pc1 Pc2 Pc3 Pc4 d Pd1 Pd2 Pd3 Pd4 and I have a dataframe(with 93 rows) called mydata part of which(6 rows) is given below where I want to fill in the last four columns with probabilities taken from States.Prob according to the change and state in mydata4:- Change State PState1...

...x1=rnorm(20)+5, x2=rnorm(20)+5, x3=rnorm(20)+5, x4=rnorm(20)+5, x5=rnorm(20)+5, x6=rnorm(20)+5, x7=rnorm(20)+5, x8=rnorm(20)+5, group=rep(c(1,2),10), Age=rnorm(20)+35,strata=c(rep(1,10), rep(2,10))) nam=names(d)[1:9] results <- c("Protein", "OR", "p-val") pc3=combinations(n=length(nam),r=2) for (len in 1:dim(pc3)[2]) { prs=pc3[len,] mols=nam[prs] d2=d[,c(mols,'group','Age','strata')] log.reg<-clogit(group~.,data=d2) a = summary(log.reg)$conf.int z= summary(log.reg)$coefficients[1,4] #ncol in coefficients is 3 *...

...Hub<--------------------> | | | | | | PC1 PC2 PC3 Firewall will be known as gate.kevsinsworld.com DMZ will be known as spud.kevinsworld.com PC1 will be knows as pulse.kevinsworld.com PC2 will be known as pudding.kevinsworld.com PC3 will be known as gun.kevinsworld.com Each of the 5 computers will have a seperate public IP address, which I will h...

...+ fpc2, data = apiclus2) pc <- svyprcomp( ~ api99 + api00, design = dclus2, scale = TRUE, scores = TRUE) dclus2$variables$pc1 <- pc$x[, "PC1"] dclus2$variables$pc2 <- predict(pc, apiclus2)[, "PC1"] mycoef <- pc$rotation[, "PC1"] / pc$scale dclus2$variables$pc3 <- with(apiclus2, api99 * mycoef["api99"] + api00 * mycoef["api00"]) svycor(~ pc1 + pc2 + pc3, dclus2)[, ] # pc1 pc2 pc3 # pc1 1.0000000 0.2078789 0.2078789 # pc2 0.2078789 1.0000000 1.0000000 # pc3 0.2078789 1.0000000 1.0000000 plot(svysmooth(~ pc1, dcl...

...ion returns a 'prcomp' object whose components are some 'lists'. the second component is a list that comtains the following: > mylist <- churn[2] > class(mylist) [1] "list" > mylist PC1 PC2 PC3 PC4 PC5 PC6 Account_Length -8.930570e-03 2.383719e-03 -2.414908e-02 -1.004704e-01 9.941468e-01 2.867606e-02 Area_Code 1.543767e-02 -1.710566e-02 -6.258129e-03 9.945271e-01 1.008478e-01 -8.890155e-...

..., scale.=TRUE); Now i get 1000 PCs and i choose first three PCs and make a new data frame new_data_frame<- cbind(data_after_pca$x[,1], data_after_pca$x[,2], data_after_pca$x[,3]); After the PCA, in the new_data_frame, i loose the previous cond1, cond2, cond3 labels, and instead have PC1, PC2, PC3 as column names. My question is, is there any way I can map the PC1, PC2, PC3 to the original conditions, so that i can still have a reference to original condition labels after PCA? Thanks: deb

Hello Sir, I want some help from you. I have my configuration like this. I have three machines. PC1,PC2,PC3. hub hub PC1--------------------PC2-----------------------PC3 eth0 eth0,eth1 eth0 I want to work my configuration like diffserv. I am generating traffic from PC3 and sending it to PC1 via PC2(as a router)and from PC2 to PC1...

....1.1 Gw : 192.168.0.254 My Network Topologi: -----------| |---------------| |--------| |Samba PDC |---eth0-----|Hub |--------|NT 4 PDC| |----------| ----------------- |--------| | eth1 | | | | ------------------ --------- | | | |Hub | pc1 pc2 pc3 --------- | | ----------------- | | | pc1 pc2 pc3 Can some one tell me, how to configure shorewall in samba?? Best regards, eddy NB: sorry my english is bad

...long when bridge topology change. How can I tuning the STP to make client connect to another again faster? I have been use follow command. But it seen not this issue. Bcause, if I run " arp -d " on PC1 (flush the arp table) and the reply will be immediately.Or if I run one ping from PC3 to PC2 (PC3 didn't have PC2's arp entry). When PC3 get reply from PC2 and then the PC1 will also get reply immediately. Does any one know what's problem? The command for adjust forward dely : /usr/sbin/brctl setbridgeprio mybr 0 /usr/sbin/brctl sethello mybr 1 /usr/sbin/brctl setm...