r <-(structure(list(TSS = c(2.8, 8.4, 11, 1.3, 4.2, 2, 3.4, 14, 8.2, 3.1, 1.4, 0.9, 0.5, 6.1, 9.2, 0.6, 1, 11, 2.4, 1.2, 1.3, 1.3, 0, 1.8, 8, 11, 11, 8.5, 8.5, 1.8, 13, 4.4, 1.4, 2.1, 0.5, 25, 25, 9.3, 6.1, 1.6, 1.5, 19, 19, 24, 9.6, 1.8, 1.4, 1), GPP = c(1.213695235, 3.817313822, 1.267930498, 10.45692825, 3.268295623, 3.505286001, 4.468225245, 0.915653726, 1.635617261, 3.726133898, 1.363453706, 13.99650967, 1.581182762, 0.417618143, 0.741080504, 1.366790205, 0.969326797, 0.412440872, 1.780215366, 3.515743675, 8.248491445, 0.125726306, 13.95880794, 4.850627229, -0.438311644, 1.537773727, 1.537773727, 3.249103284, 3.249103284, 2.470317011, 0.768531626, 2.633107621, 3.113199095, 0.773824094, 3.208461305, 0.680150068, 0.680150068, 0.026385752, 0.369310858, 8.049276658, 7.487378383, 0.950072035, 0.950072035, 0.763580377, 0.333244629, 5.475999014, 9.235631398, 2.587682905), RiverMile = c(148L, 179L, 185L, 202L, 179L, 185L, 190L, 119L, 148L, 179L, 185L, 202L, 215L, 119L, 202L, 198L, 215L, 148L, 198L, 190L, 202L, 215L, 198L, 198L, 215L, 148L, 148L, 202L, 202L, 215L, 119L, 179L, 185L, 190L, 198L, 61L, 61L, 119L, 148L, 202L, 202L, 61L, 61L, 119L, 148L, 185L, 202L, 215L )), .Names = c("TSS", "GPP", "RiverMile"), class = "data.frame", row.names = c(12L, 13L, 14L, 19L, 25L, 26L, 28L, 34L, 35L, 36L, 37L, 42L, 44L, 58L, 75L, 85L, 88L, 91L, 97L, 107L, 142L, 144L, 155L, 166L, 169L, 185L, 186L, 201L, 202L, 207L, 219L, 221L, 222L, 224L, 226L, 230L, 231L, 250L, 251L, 258L, 283L, 287L, 288L, 303L, 304L, 306L, 311L, 313L))) library(lattice) library(ggplot2) z <- nls(GPP~(a/(TSS+b)), start=c(a=0.01, b=0.01), data=r) f <- seq(-1, 29, length=100) y <- coef(z)["a"]/(f+coef(z)["b"]) pred <- data.frame(GPP = f, TSS = y) #this is what I can do qplot(TSS, GPP, data=r, colour=as.factor(RiverMile)) + geom_line(data=pred, colour ="black") #I would like to do this and then add the nls line qplot(TSS, GPP, data=r, shape=as.factor(RiverMile))+scale_shape_manual(values=1:9) #how do you undo the mapping of shape to add a line is my question #thanks -- Stephen Sefick Research Scientist Southeastern Natural Sciences Academy Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis
On Tue, Oct 14, 2008 at 6:46 AM, stephen sefick <ssefick at gmail.com> wrote:> r <-(structure(list(TSS = c(2.8, 8.4, 11, 1.3, 4.2, 2, 3.4, 14, 8.2, > 3.1, 1.4, 0.9, 0.5, 6.1, 9.2, 0.6, 1, 11, 2.4, 1.2, 1.3, 1.3, > 0, 1.8, 8, 11, 11, 8.5, 8.5, 1.8, 13, 4.4, 1.4, 2.1, 0.5, 25, > 25, 9.3, 6.1, 1.6, 1.5, 19, 19, 24, 9.6, 1.8, 1.4, 1), GPP = c(1.213695235, > 3.817313822, 1.267930498, 10.45692825, 3.268295623, 3.505286001, > 4.468225245, 0.915653726, 1.635617261, 3.726133898, 1.363453706, > 13.99650967, 1.581182762, 0.417618143, 0.741080504, 1.366790205, > 0.969326797, 0.412440872, 1.780215366, 3.515743675, 8.248491445, > 0.125726306, 13.95880794, 4.850627229, -0.438311644, 1.537773727, > 1.537773727, 3.249103284, 3.249103284, 2.470317011, 0.768531626, > 2.633107621, 3.113199095, 0.773824094, 3.208461305, 0.680150068, > 0.680150068, 0.026385752, 0.369310858, 8.049276658, 7.487378383, > 0.950072035, 0.950072035, 0.763580377, 0.333244629, 5.475999014, > 9.235631398, 2.587682905), RiverMile = c(148L, 179L, 185L, 202L, > 179L, 185L, 190L, 119L, 148L, 179L, 185L, 202L, 215L, 119L, 202L, > 198L, 215L, 148L, 198L, 190L, 202L, 215L, 198L, 198L, 215L, 148L, > 148L, 202L, 202L, 215L, 119L, 179L, 185L, 190L, 198L, 61L, 61L, > 119L, 148L, 202L, 202L, 61L, 61L, 119L, 148L, 185L, 202L, 215L > )), .Names = c("TSS", "GPP", "RiverMile"), class = "data.frame", > row.names = c(12L, > 13L, 14L, 19L, 25L, 26L, 28L, 34L, 35L, 36L, 37L, 42L, 44L, 58L, > 75L, 85L, 88L, 91L, 97L, 107L, 142L, 144L, 155L, 166L, 169L, > 185L, 186L, 201L, 202L, 207L, 219L, 221L, 222L, 224L, 226L, 230L, > 231L, 250L, 251L, 258L, 283L, 287L, 288L, 303L, 304L, 306L, 311L, > 313L))) > > library(lattice) > library(ggplot2) > z <- nls(GPP~(a/(TSS+b)), start=c(a=0.01, b=0.01), data=r) > f <- seq(-1, 29, length=100) > y <- coef(z)["a"]/(f+coef(z)["b"]) > pred <- data.frame(GPP = f, TSS = y) > > #this is what I can do > qplot(TSS, GPP, data=r, colour=as.factor(RiverMile)) + > geom_line(data=pred, colour ="black") > > #I would like to do this and then add the nls line > qplot(TSS, GPP, data=r, > shape=as.factor(RiverMile))+scale_shape_manual(values=1:9) > > #how do you undo the mapping of shape to add a line is my question > #thanks+ geom_line(aes(shape = NULL)) Alternatively you can use the full ggplot specification, and only supply shape to the points: ggplot(r, aes(TSS, GPP)) + geom_point(aes(shape = factor(RiverMile)) + geom_line(data = pred) + scale_shape_manual(values = 1:9) Hadley -- http://had.co.nz/
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