similar to: Plotting barplot and scatterplot on same device - x-axis problem

i want to plot the histogram and the curve in the same graph.if i have a set of data ,i plot the histogram and also want to see what distribution it was.So i want to plot the curve to know what distribution it like. -- View this message in context: http://www.nabble.com/how-to-plot-the-histogram-and-the-curve-in--the-same-graph-tp20082506p20082506.html Sent from the R help mailing list archive at

I calculate an anova test in the following way: expdata<-read.table("/home/dorien/UA/meta-music/optimuse/optimuse1-build-desktop/results/results_processedCP", header=TRUE)

Hello list I have a theoretical differential equation model (two coupled differential equations) describing the acidification of dairy cultures in milk: dX/dt = f(H, param)*X dH/dt = g(param)*dX/dt pH = -log10(H) I also have actual data of the same. I would like to estimate the parameters of the theoretical model from real data, but don't know how to go about it in R (I'm fairly new

Sorry for disturbing you with another newbie question! I have a data frame about coastal waters quality parameters: for some parameters (e.g. NH3) I have only 1 observation for each sampling station and each sampling date, while in other cases (chlorophyll) I have 1 obs for each meter-depth for each station and date. How can I select only the max chlorophyll value for each station/date? example

Hello R folks, I am encountering a problem with the following scatterplot function from the car package: > scatterplot(y~x|z) where y and x are continuous (interval) random variables and z is a categorical variable. When z is a categorical variable coded 1 or 2, I (appropriately) get a scatterplot of y by x, coded by z. Similarly, when z is a categorical variable coded 1, 2, or 3, there is

Hi R experts, I'm attempting to run Linear Discriminant Analysis using the lda function in the MASS package. I've got around 50 predictor variables and one response variable. My response variable has 5 numeric categories that represent different clusters of fish abundance data (clusters were developed using Bray-Curtis and NMDS), and my predictor variables are environmental variables that

Hi my friends, I'm trying to make a scatterplot like this. 1) I have a 3-variable dataset. They are ID, x, and y. 2) "x" is for the X-axis, "y" for the Y-axis, and "ID" is used to label all the cases in the scatterplot. 3) After creating the scatterplot, I need to add both a X-axis reference line and a Y-axis reference line. The X-axis reference line is a

I am trying to use scatterplot function in CAR like the following: scatterplot(X~Y) I want to label X points and Y ponits using the different color. Any idea for this? Aimin

Dear all, I'm trying to use "scatterplot" from package "car" to get a scatterplot with row-names as labels and I want my data to be divided into two groups defined by the column "tresh". Leaving away the groups-command gives me the right labels but they are not distinguished by colors according to "tresh". Does anybody know why the following example

Hi All, I'm trying to do a Scatterplot (package: car), and add a line (just for reference). There is my code: #------------------------------------Code--------------------------------------------------- library("car") library("calibrate") G_T<-c("car","bike","boat") ave<-c(80,10,45) perf<-c(100,80,75) df2<-data.frame(G_T,ave,perf)

Hello Everyone- I'm in the process of slowly learning R and am having a little bit of trouble plotting an extra line onto a scatterplot. I'm sure the answer is quite simple but I am stumped. The code I am using is: headways <- read.table("headways.csv", header=TRUE, sep=",", na.strings="", dec=".", strip.white=TRUE) plot.new()

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

Hello R users, I have some troubles to modify the "per default" legend in the scatterplot.matrix using the car package. Here is my code: -------------------------------------------------------------------- scatterplot.matrix(~ a + b + c, groups=treatment, by.groups=F, data=newfile3, smooth=T, pch=c(16,4), cex=1.3,

Dear R helpers I'm attempting to create a matrix of scatterplots with X-Y mean lines and regression lines added to each plot in the matrix. I have managed to create the first plot I would like using scatterplot but have run into an odd result when I use par() to set up the page to take multiple plot. Specifically, the mean and regression lines appear to plot in the second plot window, not

for a simple scatterplot: plot(X ~ Y, type = 'p', col = 'red') this produces red-edged circles, but I want to fill in the circles. can this be done? I checked '? plot' already but couldn't find what I was looking for. cheers -- View this message in context: http://r.789695.n4.nabble.com/scatterplot-with-filled-circles-tp3044690p3044690.html Sent from the R

i have two vectors of numbers x and y and of course i can do the standard scatterplot plot(x,y) and it looks fine. But, I was hoping there was a way to do the scatterplot so that each point plotted is a number where the number represents the index in the dataset. so, if it was x[3] and y[3], then the point would be a 3 or if it was x[4] and y[4], then the point would be a 4 etc. i doubt this is

Dear UseRs: Recently, I have read an article regarding the association between age and lymph node metastases. http://jco.ascopubs.org/content/27/18/2931.long In statistical analysis, the authors stated "Because a nonlinear relationship between age and lymph node involvement was expected based on existing literature, lymph node involvement was also regressed on age using nonparametric

I'm using pairs() to generate a scatterplot matrix; pairs(~ Fuzzy.gray.white.ratio+Fuzzy.gw.t.score+AgeWhenTested+signal_mean.noise, data=datam,subset=status=="control",main="Controls", labels=c("G/W","Peak Separation","Age","S/N")) How can I add regression lines to the plots?

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

Is there any way to make the points on my scatterplot matrix correspond to numbers instead of dots? I know how to do this on a regular 2-variable scatterplot but not on the matrix. Thanks! -Lydia [[alternative HTML version deleted]]