search for: wheat1

...preciated. If more information is needed to analyze this effectively, please let me know what you need. Thanks! Sincerely, Matthew Farley ------------------------------------------------------------------ My iax.conf entry: (my ip is 208.222.40.227) register => username:****@216.234.116.177 [wheat1] type=friend username=wheat1 password=***** host=216.234.116.177 auth=plaintext context=default ---------------------------------------------------------------------- The iax.conf entry at the other end is: (its IP is 216.234.116.177) [wheat1] type=friend host=dynamic context=wheat1 username=whe...

...e vertical parts where each pair of the same type of plant, are together in its own block of boxplot, because each plant has its own unit of measure. Let's say wheat is measured in ton, tomato in pound and cucumbers as counts. :-) x<-rnorm(1000,mean=0,sd=1,main="Right screen") wheat1<-rnorm(100,mean=0,sd=1) wheat2<-rnorm(150,mean=0,sd=2) tomatos3<-rnorm(200,mean=0,sd=3) tomatos4<-rnorm(250,mean=0,sd=4) cucumbers5<-rnorm(300,mean=0,sd=5) cucumbers6<-rnorm(400,mean=0,sd=6) par(mfrow=c(1,2)) hist(x, main="Left screen OK") boxplot(wheat1,wheat2,tomatos...

...ncludes "NA" The dataset is called wheat2 I use the following: for (i in 1:nrow(wheat2)) { # Insert NA's if runoff data > rainfall data if (is.na(wheat2[i,5:7])==FALSE && any(wheat2[i,5:7]>wheat2[i,8])) { wheat2[i,5:7] <- NA } } I tried this: wheat1 <- replace(wheat2[,5:7],is.na(wheat2[i,5:7])==FALSE && any(wheat2[i,5:7]>wheat2[i,8]),NA) wheat3 <- cbind(wheat2[1:4],wheat1,wheat2[,8]) > wheat3[5539,] # the culprit row DateRain Rain StartDate EndDate RO.A RO.B RO.C filtered.Rain 5539 28-Feb-58 0 27-Feb-58 28-F...

...8 6.1 7.5 5.9 5.6 $ Maize : num 5.8 4.7 6.4 4.9 6 5.2 $ Oats : num 8.3 6.1 7.8 7 5.5 7.2 > stack <- function(data) + data.frame(values = unlist(data), + lev = factor(rep(names(data), lapply(data, length)))) > stack(ex10.09) # try it on the example values lev Wheat1 5.2 Wheat Wheat2 4.5 Wheat Wheat3 6.0 Wheat Wheat4 6.1 Wheat Wheat5 6.7 Wheat Wheat6 5.8 Wheat Barley1 6.5 Barley Barley2 8.0 Barley Barley3 6.1 Barley Barley4 7.5 Barley Barley5 5.9 Barley Barley6 5.6 Barley Maize1 5.8 Maize Maize2 4.7 Maiz...

..."violetred", "#D02090", "violetred1", "#FF3E96", "violetred2", "#EE3A8C", "violetred3", "#CD3278", "violetred4", "#8B2252", "wheat", "#F5DEB3", "wheat1", "#FFE7BA", "wheat2", "#EED8AE", "wheat3", "#CDBA96", "wheat4", "#8B7E66", "whitesmoke", "#F5F5F5", "yellow", "#FFFF00", "yellow1", "#FFFF...