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Hello All, I have a covariance matrix, generated by read.table, and cov: co<-cov(read.table("c:/r.x")) X Y Z X 0.0012517684 0.0002765438 0.0007887114 Y 0.0002765438 0.0002570286 0.0002117336 Z 0.0007887114 0.0002117336 0.0009168750 And a weight vector generated by w<- read.table("c:/r.weights") X Y

Hi, Can anyone shed some light on this: My PC's are on a separate power circuit. Each PC has its own UPS. I have an old Honda generator. When the power goes out, I fire up the generator. However, the UPS's still run on battery. If I connect the PC directly to the socket and bypass the UPS, the PC works. I was told by a UPS supplier, that the power output from the generator was

Hello All, I have data where each feature data point is a vector, and my distance measurement is a weighted dot product between vectors. I would like to use R to perform a cluster analysis on this data. Does one of the R cluster analysis routines provide for a user provided distance function? Dan Stanger Eaton Vance Management 255 State Street Boston, MA 02109 617 598 8261

Hi, I'm the original poster on the subject. Thanks for all the replies. A few more points. The generator outputs 7kw @ 220V. The total PC's supplied is about 9. I estimate power consumption to be 9 x 300w=2700w 4 halogens @ 400w each=1600w 10 Compact Flourescents @ 11w =110w Therefore total power=4410w Which leaves me with spare capacity of about 2590w (in theory). I think its

...corridor.Instead,sunglassed rock'n'roll bandits and staff dressed in Hawaiian shirts smiling a 'Hi!'is what you get.It is two years since my first foray into Lalaland and I have forgotten how disarming it is to be in a hotel and hear,'Hi,Mr Grant,enjoy your stay,'from total stangers. fumigacio`n3granujoso02compensacio`n,curadori`a lacrimatorio.