search for: weight3

...553857, 47.919812716, 48.191047925, 54.024111477, NA, 45.548940909, NA, 53.838601463, NA, 50.50111976, 53.918903127, 45.481404898, 54.465265395, 50.656535116, 53.037833591, 53.346378286, NA, 40.582047152, 44.724081659, 50.858338403, NA, NA, 40.679801628, 44.8645364, 44.011082672, 51.955119361, NA), weight3 = c(55.198326807, 54.174241705, NA, 54.069526393, 52.746444632, NA, NA, 61.469501304, 51.508762087, 58.266821929, 58.647671581, 59.09318286, 52.884083243, 63.804598792, 58.559146181, NA, 56.556534826, 51.071810157, NA, 62.371304581, NA, 55.025181044, 55.16444531, 59.571659821, 52.516719702, NA, 57....

...e created within one data frame into a new data frame when using na.omit(). To illustrate this problem 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,newva...

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

...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]]