similar to: Scatterplot Question

Hello everyone, I am currently working with some data where I need to select the first occurrence of a value after the occurrence of another value. The data has two columns, one with a time and one with occurence of certain events. The column of data I want to select from looks like this (and each of these events have a corresponding time in another column). Stat71 OutMag FirstResp InMag

Respected R forum I am learning R and relatively quite new to R. I am generating a scatter-plot as given below. (My actual table is much larger). # Sample data frame y = c(20, 23, 17, 31, 68) x = c(200, 300, 400, 500, 600) plot(x, y, type = 'l') If I plot this scatter-plot in excel, the data values are displayed if I place the cursor at some desired place of the graph. E.g. if I

I'm looking for someone to explain the difference between these procedures. The function prcomp() does principal components anaylsis, and the function cmdscale() does classical multi-dimensional scaling (also called principal coordinates analysis). My confusion stems from the fact that they give very similar results: my.d <- matrix(rnorm(50), ncol=5) rownames(my.d) <-

Hi, I have developed a logistic regression model in the form of (factor_1~ numeric + factor_2) and would like to perform a cross-validation or some similar form of sensitivity analysis on this model. using cv.glm() from the boot package: # dataframe from which model was built in 'z' # model is called 'm_geo.lrm' # as suggested in the man page for a binomial model: cost <-

I am still struggling to map a character string to an object name and vice versa in R. I thought the as.name() function might work, but observe the following behaviour ... > attach(warpbreaks) > levels(tension) [1] "L" "M" "H" > levels(as.name("tension")) NULL > objectname<-as.name("tension") > objectname tension >

Anyone have a good R tutorial for time series? Or know of a good book? Any advice would be helpful. I've been using matlab and programming things directly (not using canned functions), but now I'm having difficulty figuring out how to say, do freq domain anaylsis and get a CI on my periodogram, or plotting the coherence, etc. Or how to change certain parameters, e.g. fit AR(p) with p

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 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.