search for: ashz

Hi, Is there a package to perform a sine function fitting to XY data? Thx, Ashz -- View this message in context: http://r.789695.n4.nabble.com/Sine-function-fitting-tp3000156p3000156.html Sent from the R help mailing list archive at Nabble.com.

...pch=16, col="white", cex=2) panel.superpose(x, y, type="p",...) }, par.settings = sp, auto.key = list(columns = 2, lines = TRUE))) I will be very happy if someone can please explain me how to do it in ggplot2 as it will be great help. Cheers, Ashz -- View this message in context: http://r.789695.n4.nabble.com/lattice-to-ggplot2-conversion-help-tp3760001p3760001.html Sent from the R help mailing list archive at Nabble.com.

Hi, I have 20*60 data matrix (with some NAs) and I wish to perfom a Pearson correlation coefficient matrix as well as simple linear regression equation and coefficient of determination (R2) for every possible combination. Any tip/idea/library/script how do to so. Thanks, As hz -- View this message in context:

Hi, I have this script: dat <- data.frame(X = halistat$Date,Y1 = halistat$avg,Y2 = halistat$stdev) ggplot(data = dat, aes(x = X, y = Y1, ymin = Y1 - Y2, ymax = Y1 + Y2)) + geom_point() + # points at the means geom_line() + # if you want lines between pints geom_errorbar() # error bars, Y1 - Y2 and Y1 + Y2 halistat$Date values: 29/1/10 21/2/10 30/3/10 30/4/10 30/5/10 In the resulted

Dear All, I have this script: dat <- data.frame(Month = hstat$Date,C_avg = hstat$C.avg,C_stdev = hstat$C.stdev) ggplot(data = dat, aes(x = Month, y = C_avg, ymin = C_avg - C_stdev, ymax = C_avg + C_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,K_avg = hstat$K.avg,K_stdev = hstat$K.stdev) ggplot(data = dat, aes(x = Month, y = K_avg,

Dear all, I generated a Correlograms and used the panel.ellipse (confidence ellipse and smoothed line) option. Is there a way to get instead of the smoothed line the linear regression? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-and-linear-regression-tp2331071p2331071.html Sent from the R help mailing list archive at Nabble.com.

Hi, I was trying as well as looking for an answer without success (a bit strange since it should be an easy problem) and therefore I will appreciate you help: My simple script is: # Loadings data of 5 columns and 100 rows of data data1<-read.csv("C:/?/MyPCA.csv") pairs(data1[,1:4]) pca1 <- princomp(data1[,1:4], score=TRUE, cor=TRUE) biplot(pca1) The biplot present the data

Hi, I have an excel sheet (already imported to R) with multiple columns and I am looking for a way in R that will allow me to generate a plot for every possible pair and its linear regression line/data. Any tip/idea/script how do to so. Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Automated-plot-and-linear-regression-line-data-tp2328027p2328027.html Sent from

Hi, Based on some modification that I did to the R Cookbook Graphs Scatterplots code, link:http://wiki.stdout.org/rcookbook/Graphs/Scatterplots%20(ggplot2) I have some questions and I will appreciate a help: - How do I change the legend title? - How can I change the for each linear regression its color and linetype? - How can I add for both the linear regression lines their equations and Rseq

Dear All, The following code save my graphs as pdf: pdf("j:/mix.pdf", width = 18, height = 16) grid.newpage() pushViewport(viewport(layout = grid.layout(3,1))) vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y) print(Aplot, vp = vplayout(1, 1)) print(Bplot, vp = vplayout(2, 1)) print(Cplot, vp = vplayout(3, 1)) dev.off() How can I save it in

Hi, Is it possible to do a Matrix Plot and in the cell perform a linear regression also adding to the cell the r2 and the equation. If so, how? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Matrix-Plot-and-linear-regression-tp2321613p2321613.html Sent from the R help mailing list archive at Nabble.com.

Hi, I am using this script to read a xlsx file to a data frame: library(xlsx) File <- file.path("d:", "car ", "car95-99.xlsx") B_car <- read.xlsx(File, "raw_data") Car2x <- data.frame(month = B_car$Date,Ch = B_car$Ch.des, lat=B_car$Latitude) The last row in the data.frame is always NA, how can I remove it? Thx. -- View this message in

Dear All, I have some time series data where X=month and Y=nutrient concentration (I can have several concentration data for one month). Is there a way to fit for it an Harmonic Function. Is there a package, script,etc which I can use? Thx -- View this message in context: http://r.789695.n4.nabble.com/Fitting-a-Harmonic-Function-to-Time-Series-Data-tp3901266p3901266.html Sent from the R help

Hi, How can I calculate and mark each group centroid in a linear discriminant analysis plot (using ggplot2)? Script: ## originate from http://r.789695.n4.nabble.com/LDA-and-confidence-ellipse-td4671308.html require(MASS) require(ggplot2) iris.lda<-lda(Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width, data = iris) LD1<-predict(iris.lda)$x[,1]