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I think the function you need is 'help.search'; try: help.search("binomial") and look for something obvious in the 'stats' package. A good deal quicker and easier than posting to an internet forum! Cheers, Mike. cathelf wrote: > > Dear all, > > I am trying a find the value "p" in binomial. > > X ~ Bin(n,p) > > I want to find the value "p", so that Pr(X <= k) <= alpha > > Here, n, k and alpha are known. n, k are integers. alpha is between (0,1). > &g...

Hi, Sorry for bothering your guys again. I am trying to use "par" to put 6 figures into 3 rows and 2 columns. My code is: op <- par(mfrow = c(1, 2)) xyplot(x1+x2+x3 ~ y, data=resulta, type="l", pch=LETTERS[1:3], lty=c(1:3), main="For k=3, theata1=1") xyplot(x1+x2+x3 ~ y, data=resultb, type="l", pch=LETTERS[1:3], lty=c(1:3), main="For k=3,

Thank you for your guys reply for my previous question. But I got one more question about the boxplot. With the code in the R-help: boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg", ylab =

Hi, sorry for bothering your guys. I will trying to make some nice graph using boxplot. when I check the help file of boxplot, there is a sample code as: boxplot(len ~ dose, data = ToothGrowth, add = TRUE, boxwex = 0.25, at = 1:3 + 0.2, subset = supp == "OJ", col = "orange") legend(2, 9, c("Ascorbic acid", "Orange juice"),

Hi, Dear R-users, I have a problem when I drawing a boxplot. I want to extend the whisker to the 5% and the 95% quantiles and only show the most extreme outlier, like 0.01% and 99.99% percentiles. What should I do? I saw something on boxplot.stat, but even I define the parameter in boxplot.stat, what I should do next? how to connect it to boxplot? Thank you very much! Catherine -- View

Hi, Dear R-users: Sorry for bothering your guys again. I think I should rewrite my question. I know how to extend whisker by using range. The question is that I will set the range=1.5, and at the same time, I only want to show the extreme outlier, like 0.01% and 99.99% percentile, so what should I do? Thank you very much! Catherine -- View this message in context:

Hi, sorry for bothering your guys again. I want to simulate 100 AR(1) data with cor(x_t, x_t-1)=rho=0.3. The mean of the first 70 data (x_1 to x_70) is 0 and the mean of the last 30 data (x_71 to x_100) is 2. Can I do it in the following way? x <- arima.sim(list=(ar=0.3), 100) mean <- c(rep(0, 70), rep(2, 30)) xnew <- x+mean If the above code to simulate 100 AR(1) data is right, what

Hi, Can you tell me what is the meaning for "tail, 1" in "aggregate"? I also want to get some similar graph, but the data is not time series data. Suppose here is my data one, I want a graph with x-axis is just the index(1:9). The graph plot all the variable A, B,C,D. So there should be 4 lines for each graph. For the A line, at each time point, the letter A should be on

Hi, Sorry for bothering your guys. I am still working on boxplot. How can I extend the whisker to the 5% and the 95% quantiles? What I should do if I only want to show the most extreme outlier, like 0.01% and 99.99% percentiles? I saw something on boxplot.stat, but I even donot know how to connect it to boxplot? Thank you very much! suppose the follow is the data to make the boxplot. a <-