Difference between revisions of "Metal concentrations in lake sediments"

library(OpasnetBaseUtils)
library(xtable)
library(ggplot2)

data <- tidy(op_baseGetData("opasnet_base", "Op_en5462"))
out <- data[data$Observation %in% metalli, ]
colnames(out) <- c("DateTime", "TagName", "Value")
out$Value <- as.numeric(out$Value)
out$DateTime <- as.numeric(out$DateTime)
cat(paste("Metalli: ", metalli, "\n", sep=""))
plot(out$Value)

library(OpasnetBaseUtils)
library(xtable)
library(ggplot2)
library(reshape)

data <- (op_baseGetData("opasnet_base", "Op_en5462"))
data <- tidy(data)

data$Result <- as.numeric(data$Result) # This replaces all as.numeric rows below.
data <- reshape(data, timevar = "Observation", idvar = "ID", direction = "wide")
colnames(data) <- gsub("Result.", "", colnames(data))

data$distance <- sqrt((as.numeric(data$Easting) - easting)^2 + (as.numeric(data$Northing) - northing)^2)

data <- melt(data, measure.vars = c("Co", "Cr", "Cu", "Fe", "Mn", "Ni", "Pb", "S", "V", "Zn"))

out <- data
out$distance <- data$distance <= säde*1000
out <- as.data.frame(as.table(tapply(out$value, out[c("variable", "distance")], mean)))
cat("Metallipitoisuuden keskiarvo ", säde, " km säteellä pisteestä ", easting, "E, ", northing, " N.\n")
print(xtable(out[out$distance == TRUE, ]), type = 'html')

cat("Pitoisuudet metallille", metalli, ".\n")
concentration <- data[data$distance <= säde*1000 & data$variable == metalli, "value"]
plot(concentration) # simple plot about concentrations.
qplot(Easting, Northing, data = data[data$variable == metalli, ], size = value) # Concentrations on a "map".