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I've successfully plotted (in the plot and abline code below) a simple regression of Lambda1_2 on VV1_2. I then successfully regressed Lambda1_2 on VV1_2, VV1_22 and VV1_212 producing lm2.l. When I go to plot lm2.l using abline I get the warning: "1: In abline(lm2.l, col = "brown", lty = "dotted", lwd = 2) : only using the first two of 4 regression coefficients"

Hey, I am having problems with importing a csv file to R. I could read the file by typing: read.csv(file="/Users/kama/Desktop/skatter.csv", header=TRUE, sep=";") However, i can not analyze the "skatter" - for ex, when i type: skatter = read.csv("skatter.csv") i get this message: Error in file(file, "rt") : cannot open the connection

I'm trying to provide different parameters to the integrate function for various probability functions. I'm using dnorm as the simplest example here. For instance integrate(dnorm, -1.96, 1.96) produces the correct answer for a normal distribution with mean 0 and standard deviation 1. I've tried two ways to use mean=2.0 and standard deviation 1, but with no luck. The examples follow.

I am plotting three Pearson Type IV distributions. It looks like I have to plot the distribution with the highest value of y and then use lines() to add the two distributions that are shorter / have lower max values of y. The following code figures out which distribution has the max y value, plots it first and then uses lines for the other two distributions with a series of three if statements.

Dear friends, I have a csv file entitled ven.csv located in C:\\, this file contains only two columns:"ve" and "su" I have written the following lines: data=read.csv("c:\\ven.csv",header=TRUE,sep=";"); lm(ve~ su) I have obtained the following message: Error in eval(expr, envir, enclos) : object 've' does not exist. What's the problem? thank