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Hello I am trying to install the R RPM for Suse 10.0 on an x86_64 PC. However I am failing a dependency for "libpng12.so.0" straight away PC5-140:/home/rmgzshd # rpm -i R-base-2.5.0-2.1.x86_64.rpm error: Failed dependencies: libpng12.so.0(PNG12_0)(64bit) is needed by R-base-2.5.0-2.1.x86_64 I do seem to have this file PC5-140:/home/rmgzshd # whereis libpng12.so.0 libpng12.so: /usr/lib/libpng12.so.0 /usr/local/lib/libpng...

...nc-backup.13.usbhdd_toshiba_2t.usbhdd_trekstor_500g.conf.d/rsync-backup.include.list --log-file=/var/log/rsync/rsync-backup_2014-11-20_08-23-41.log --verbose --verbose /media/usbhdds/toshiba/2t/5_vgusbhdd_toshiba_2t-os1 /backup/rsync-backup/14.04/full/daily.0 The last logfile entries are: root at pc5: /var/log/rsync $ tail rsync-backup_2014-11-20_08-23-41.log 2014/11/20 08:47:20 [13478] >f..t...... lib/firmware/cis/src/tamarack.cis 2014/11/20 08:47:20 [13478] .d..t...... lib/firmware/cpia2/ 2014/11/20 08:47:20 [13478] >f..t...... lib/firmware/cpia2/stv0672_vp4.bin 2014/11/20 08:47:20 [134...

...ent. First, I list my results from R,S-PLUS and SAS/STATA/SPSS, and then show the original dataset, hoping sb. to try and explain it. SAS,STATA,and SPSS have the same results, so i put them together. From their results, we see that the absolute values of coeffiecient are same, but PC1,PC2,PC4,PC5 and PC6 in R have the opposite sign on the coeffiecnts contrast with SAS, and PC4,PC5 in S-PLUS have the opposite sign on the coeffiecnts contrast with SAS. Curiously, I got the same results amont all these software using my another dataset. *R's results of PCA:* *PC1* *PC2*...

...mes. 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 all data.frames that the function ob...

Hi, Suppose I have the following data frame. __BEGIN__ > library(MASS) > data(crabs) > crab.pca <- prcomp(crabs[,4:8],retx=TRUE) > crab.pca$rotation PC1 PC2 PC3 PC4 PC5 FL 0.2889810 0.3232500 -0.5071698 0.7342907 0.1248816 RW 0.1972824 0.8647159 0.4141356 -0.1483092 -0.1408623 CL 0.5993986 -0.1982263 -0.1753299 -0.1435941 -0.7416656 CW 0.6616550 -0.2879790 0.4913755 0.1256282 0.4712202 BD 0.2837317 0.1598447 -0.5468821 -0.6343657 0.4386868 __END__ Is t...

Hello I am creating a linear model with the command net5 = lm( X[,1] ~ PrinComp[,1:5]) where my vector PrinComp looks like this > head(PrinComp[,1:5]) PC1 PC2 PC3 PC4 PC5 [1,] 1.8626055 -3.34190998 -0.5448889 2.8296751 0.3994096 [2,] 3.1124144 -1.68113572 1.7187314 -2.0162583 -0.2935675 [3,] 3.3538049 -0.05471002 -2.9385065 0.6921495 -2.2743761 [4,] 2.3491111 1.46433537 3.2600091 0.5121311 -2.2212727 [5,] 1.4467501 2.64829347 -2.4559811 -2.4745585 -2.3537081...

...$PC2 fcst lower upper CI PC2.fcst -0.938333 -4.346927 2.470261 3.408594 $PC3 fcst lower upper CI PC3.fcst -1.035569 -4.282719 2.211582 3.247151 $PC4 fcst lower upper CI PC4.fcst -0.7063035 -4.027811 2.615204 3.321507 $PC5 fcst lower upper CI PC5.fcst 0.3664593 -1.689041 2.421959 2.055500 I would like to take the fcst object from each of the list elements and assign it to a vector, do you know how can I do this in an efficient way without having to go trough all the list with a for? At th...

...nut package is ( taken from dpkg -l nut ) ii nut 2.0.4-4 The core system of the nut - Network UPS Tools Today morning I found the UPS powered off. I had to manually power it on. I found the following messages in /var/log/syslog : Nov 12 20:34:18 pc5 upsd[2372]: Data for UPS [gamasonic] is stale - check driver Nov 12 20:34:20 pc5 upsd[2372]: UPS [gamasonic] data is no longer stale And after that there are no other messages, until the power up messages ( so I must conclude that the server was suddenly powered off without doing a nice shut do...

Dear friends, what is this error message in gam???? I cannot understand what it means .... is it a bug? gam_bray_scot24_pc_0505<gam(bray~s(PC1,PC2,PC3,PC4,PC5, PC1.1,PC2.1,PC3.1,PC4.1,PC5.1),data=dist_scot24_vector_with_climate) Error in if (length(data) != vl) { : missing value where TRUE/FALSE needed Calls: gam ... smooth.construct -> smooth.construct.tp.smooth.spec -> array In addition: Warning message: In array(0, n * k) : NAs introduced by...

..., 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="varimax",s...

...l network (5 machines running win9x) Everything seems to be ok except i can only browse the network from one machine (pc 5) On all the other machines when i try to map the users drive (in /home/pc*) or another win9x machine on the network i am prompted for a password but no password is accepted. On pc5 i am not prompted for a password. Below are copies of hosts,lmhosts, hosts.allow, hosts.deny, smbusers and smb.conf. All the ips & subnet masks are set correctly on the win9x boxes with the workgroup AWB. the output of "$ smbclient -L pc1" is as follows; ""---Domain[AWB] Ser...

...her words the summary of my PCA analysis. I can do it very painstaking with text for each row and make sure that everything aligns and so on but i wonder if there is a better method than that. My summary follows: m1 PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9Standard deviation 12.67140 8.252798 7.407514 3.71649 3.338228 1.974144 1.813919 1.416385 0.9981993Proportion of Variance 0.50054 0.212320 0.171060 0.04306 0.034740 0.012150 0.010260 0.006250 0.0031100Cumulative Proportion 0.50054 0.712870 0.883920...

...ample. My question is How can I decide the *K =? *and *para=c(7,4,4,1,1,1)) . So, here k=6 i.e the no of Principal Components. and each pcs say , * ** pc1 number of non zero loading is 7 pc2 number of non zero loading is 4 pc3 number of non zero loading is 4 pc4 number of non zero loading is 1 pc5 number of non zero loading is 1 pc6 number of non zero loading is 1 *How can I know in which pc,s how many non zero loadings will be? Any code??? One answer can be cross validation but I did not find in the package. * ** *Thanks for your help* *Code:* library(elasticnet) > out2<-spca(pitp...

...ile the out from prcomp command is something like this Standard deviations: [1] 3.325801e+00 7.669837e-01 6.625773e-01 4.990732e-01 3.470071e-01 [6] 2.946679e-01 2.206289e-01 1.645828e-01 1.570887e-01 4.741294e-16 Rotation: PC1 PC2 PC3 PC4 PC5 [1,] -0.07900624 -0.0824864352 0.1208419434 0.1763425845 0.089545020 [2,] -0.09114708 -0.0901675110 0.1377608881 0.2224127252 0.076620976 [3,] -0.10510742 -0.0935434206 0.1113586044 0.2513993555 0.029783117 I want to extract PC1 and 1 value in the standard deviation Thanks -- Nun...

Hey, I need some help. I want to obtain a cross validation for a regression model (binary response) but I got an error with CVbinary. Well I did this: fit <- lm(resp ~ PC1 + PC2 + PC3 + PC4 + PC5 + PC6 + PC7 + PC8 + PC9+PC10+PC11+PC12+PC13+PC14+PC15+PC16+PC17+PC18+PC19+PC20+PC21+PC22+PC23+PC24+PC25+PC26+PC27+PC28, data = dexp.cp, family=binomial()) CVbinary(fit) Error in sample(nfolds, m, replace = TRUE) : invalid 'size' argument I cannot understand this error, I was googling it,...

...all.equal(cov(Z), S, tol = 0.08) pZ <- prcomp(Z, tol = 0.1) summary(pZ) # only ~14 PCs (out of 32) I get for the last line, the summary.prcomp(.) call : > summary(pZ) # only ~14 PCs (out of 32) Importance of components: PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 Standard deviation 3.6415 2.7178 1.8447 1.3943 1.10207 0.90922 0.76951 0.67490 Proportion of Variance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713 0.01943 0.01495 Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001 0.93944 0.95439...

Hi, i''m sort of testing a configuration and things are not working sa i planned. i have the following network diagram: PC1 to 7 cnneced on the same ethernet hub. PC1 PC2 PC 3 PC4 PC5 PC6 on network 192.168.5.0 PC6 and PC7 on network 192.168.1.0 so PC6 work as a router. in addition, PC6 is connected to both network on the same device eth0. now on PC6, put a tbf on dev eth0 root with a rate 100ko/s send data from PC1 to PC7. is the data shaped by the tbf ? i''d say...

...omponents 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-03 Intl_Plan -2.627796e-04 -...

...0.1) > > summary(pZ) # only ~14 PCs (out of 32) > > > > I get for the last line, the summary.prcomp(.) call : > > > > > summary(pZ) # only ~14 PCs (out of 32) > > Importance of components: > > PC1 PC2 PC3 PC4 PC5 PC6 > > PC7 PC8 > > Standard deviation 3.6415 2.7178 1.8447 1.3943 1.10207 0.90922 > 0.76951 > > 0.67490 > > Proportion of Variance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713 > 0.01943 > > 0.01495 > > Cumulative Proportion 0.4352 0.6775 0.789...

...1.8110 1.0000 Conditional 0.8681 0.4793 32 Constrained 0.0000 0.0000 0 Unconstrained 0.9429 0.5207 29 Inertia is variance Some constraints were aliased because they were collinear (redundant) Eigenvalues for unconstrained axes: PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 0.16008 0.14733 0.12183 0.09054 0.07380 0.06971 0.05578 0.04215 (Showed only 8 of all 29 unconstrained eigenvalues) -- Nevil Amos Molecular Ecology Research Group Australian Centre for Biodiversity Monash University CLAYTON VIC 3800 Australia [[alternative HTML version...