search for: rm215

RM215.sp <- SpatialPoints(RM215, proj4string=CRS("+proj=longlat +datum=WGS84")) d060101 <- as.POSIXct("2006-01-01", tz="EST") study_seq <- seq(from=d060101, length.out=761, by="days") up.215 <- sunriset(RM215.sp, study_seq, direction="sunrise"...

boxplot(x[,c(2,15,28,41,54,67,80,93,106)], ylab="mg/s", names=c("RM215", "RM202", "RM198", "RM190", "RM185", "RM179", "RM148", "RM119", "RM61")) this is the code I am using to make a standard box plot. Is there a way to get the number of NA observations plotted onto the graph easily...

# I am sure that I could be more efficient than this but how? Thanks in advance. #GPS in Decimal Degrees in the form longitude latitude RM215 <- matrix(c(-82.1461363, 33.5959109), nrow=1) SC <- matrix(c(-82.025888, 33.606454), nrow=1) RM202 <- matrix(c(-81.9906723, 33.5027653), nrow=1) RM198 <- matrix(c(-81.926823, 33.4634678), nrow=1) HC <- matrix(c(-81.920505, 33.46192), nrow=1) RM190 <- matrix(c(-81.9317347, 33.38390...

...es, and if I look at the results of prepSEIS it has compressed (I think) all of the signals to one. x <- read.csv("testDO.csv", header=T) x.ts <- ts(x, deltat=4/60) a <-x.ts[,1] b <- x.ts[,2] c <- x.ts[,3] d <- x.ts[,4] GG <- prep1wig(wig = c(a, b, c, d), sta=c("RM215", "RM202", "RM198", "RM190", comp="DO", units="mg/L")) # I have also tried this without breaking it up into individual data frames xx <- prepREIS(GG) plot(x.ts) is what I want to go into PICK.GEN Any help would be greatly appreciated- I am...

...ucture(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185", "RM190", "RM198", "RM202", "RM215", "RM61", "SC"), class = "factor"), Alkalinity = c(13, 13, 17, 17, 21, 21, 19, 14, 16, 15, 14, 14, 14, 15, 15, 9.7, 17, 14, 15, 14, 14, 15, 15, 15, 15, 15, 14), Arsenic = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.00039, NA, 0.001, NA,...