search for: weight2

...22, 43.753041021, 42.631667022, 43.964726468, 38.665918845, 35.758478283, 31.642950399, 33.31580307, 41.171896621, 34.11696779, 33.872158362, 42.70435576, 41.153390371, 43.830697643, 35.223807744, NA, 37.210599185, 44.775833501, 30.659131352, 40.399049686, 44.368921711, 41.850601771, 37.850971621), weight2 = c(46.614122964, 49.810266131, NA, 51.600870342, 49.009289571, 44.041339142, 52.877022993, NA, 49.99494035, 40.401355811, 43.25422231, 53.470358871, 52.762958304, 52.586173237, 50.286215216, NA, 44.273412353, 40.473174437, 51.956636192, 46.237083243, 40.679582358, NA, NA, 53.008553857, 47.91981271...

Hi: How do I find average across three columns such as weight1, weight2, weight3 (20 people, each person has three different measures)? They have NA's also. Thanks Tom, Univ of Pittsburgh, ttrut at yahoo.com

...roblem I will give the example I am working on and the approah I have been using:- data.frame1<-filepath.... attach(data.frame1) #create a new variable using a function new.variable<-rep(1,length(weight3)) for (x in 1:length(new.variable)) {f<-((((age1[x]-7)*(weight[x]-mw))+((age2[x]-7)*(weight2[x]-mw))+((age3[x]-7)* (weight3[x]-mw)))/(((age1[x]-7)^2)+((age2[x]-7)^2)+((age3[x]-7)^2))); new.variable[x]<-f} #then bind it into the existing old data frame data.frame2<-cbind(data.frame1,newvariable) rm(dat.frame1) attach(data.frame2) #everything o.k. so far but now the problem part... I...

...like to compare more than two years ( total of fifteen years, from 1979, 1981, 1983..........to 2007) how should i correct my programs, then i could compare fifteen year's wage distribution? fig2b <- reldist(y=mu1981$b1,yo=mu1979$b1,ci=F,smooth=0.4, yowgt=mu1979$weight2,ywgt=mu1981$weight2, bar=TRUE, yolabs=seq(-1,3,by=0.5), ylim=c(0,2.5),cex=0.8, ylab="Relative Density", xlab="Proportion of the Original Cohort")...

...pare more than two years ( A total of fifteen years, from 1979, 1981, 1983, 1985..........to 2007) how should I correct my programs in the below, then I can compare fifteen years's wage distribution? fig2b <- reldist(y=mu1981$b1,yo=mu1979$b1,ci=F,smooth=0.4, yowgt=mu1979$weight2,ywgt=mu1981$weight2, bar=TRUE, yolabs=seq(-1,3,by=0.5), ylim=c(0,2.5),cex=0.8, ylab="Relative Density", xlab="Proportion of the mu1979 Cohort") title(main="Fig2(b)",ce...

I'm trying to plot a series of densities using/comparing differing weights. I see the reference to weights and subscripts, but I don't understand how to implement that. My data are of the form: I, J, Actual, Distance, Subset, Weight1, Weight2, ... I'm trying to see the effect of the distance distribution (Actual by Distance) compared to the various weighted distributions (Subset*WeightX by Distance) I presume I and J are the subscripts to the weight Variable in densityplot. If anyone has a code snippet of densityplot using weight...

...0.0 6 0.0 81.7 0.2 0.0 NA 0 1.5 60.9 0.0 0.0 15.5 1 13.0 56.8 17.5 32.8 6.4 4 3.0 66.4 2.0 0.3 NA Now I want to replace those NA's, with the estimation values by using this formula: weight$v6 <-(weight1*AS)+(weight2*BL)+(weight3*Serdang)+(weight4*Jhr)+(weight5*Phg); Targetstation but I still could not replace the NA's. My problem is, how do I replace those NA's with another value? Thank you so much for your help and attention. Regards, Dila [[alternative HTML version deleted]]

...81 80 80 80 18 WI 80 82 82 82 81 81 81 19 WI 85 86 87 86 86 86 86 20 WI 77 78 80 81 82 82 82 21 WI 80 81 80 81 81 82 83 ; /*---Data Set 3.2(b)---*/ data weight2; set weights; time=1; strength=s1; output; time=2; strength=s2; output; time=3; strength=s3; output; time=4; strength=s4; output; time=5; strength=s5; output; time=6; strength=s6; output; time=7; strength=s7; output; keep subj program time strength; run; proc sort d...

I'm sure this must be a nls() newbie question, but I'm stumped. I'm trying to do the example from Draper and Yang (1997). They give this snippet of S-Plus code: Specify the weight function: weight < - function(y,x1,x2,b0,b1,b2) { pred <- b0+b1*x1 + b2*x2 parms <- abs(b1*b2)^(1/3) (y-pred)/parms } Fit the model gmfit < -nls(~weight(y,x1,x2,b0,b1,b2),

Guys Oppologies for the cross post. I''ve been scouring the docs coming with the wrr patches and for the life of me I can''t figure out why there are 8 parameters for each class. <snip> weight1, min1, decr1, incr1, weight2, min2, decr2, incr2 </snip> According to the docs these parameters are handled the same way, but looking at the example scripts there are different values for these. I had a look at the formulas, and have gotten my own set of reasonable values, based on the calculations, but do I place the...

...e2=0 declare -i NUM=$WRR_MAX_CLASSES; while [ $NUM -ge 1 ]; do HNUM=$(printf %X $NUM) tc class change classid 8001:$HNUM dev $DEV \ wrr min1=0.5 max1=1.0 decr1=0.0000000254 \ incr1=0.00083333333 weight1=1.0 \ min2=0.1 max2=1.0 decr2=0 incr2=0 weight2=1.0 NUM=$NUM-1 done } shape $IFACE_IN dest shape $IFACE_OUT sour _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/