similar to: drawing curve

Sir, I want to calculate double integral in R. Is there any function to do this? Regards, Suman Dhara [[alternative HTML version deleted]]

Sir, I want to store the column name of a data frame as a vector and use the vector to remove a column of the data frame ,if required. Thanks, Suman Dhara [[alternative HTML version deleted]]

Sir, I want to fit a multinomial logistic regression in R.I think mlogit() is the function for doing this. mlogit () is in packege globaltest.But, I can not install this package. I use the following: install.packages("globaltest") Can you help me? Regards, Suman Dhara [[alternative HTML version deleted]]

Sir, I have a problem regarding partitioning a matrix.I state my problem as follows: I have a y vector of length say 1000.Variable y has 4 levels say 0,1,2.Corresponding to each y(response), I have a x-vector(explanatory) as a row of X matrix.Now, I want to partition the X matrix into 3 submatrices say x1,x2,x3 corresponding to each level of y.Is there any function to do this in R or how can I

Sir, I want to export the results of R in a data frame. So I want to give rownames,columnnames & title to the data-frame.I have applied the following: data.frame(matrix(c(...),nrow=,ncol=),row.names=c("a","b"),col.names=c("c","d"),title="aaa") But, it does not work. Can you help me? Regards, Suman Dhara [[alternative HTML version

Sir, I am working with multiclass discriminant analysis.(say response variable has 3classes).In R, using lda(), I get 2 sets of coefficients for the discriminant function.Now, I want to put a new x-vector(vector of independent variables) and want to check it corresponds to which class of y.Is there any formula for doing this? or how can I do this? Regards, Suman Dhara [[alternative HTML

Sir, I want to draw random from any multivariate disrtibution. Is there any function in R to do this? Regards, Suman Dhara [[alternative HTML version deleted]]

Sir, I am working on fitting distribution on multivariate financial data and then simulate observations from that fitted distribution. I use stepAIC.ghyp() function of 'ghyp' library which select the best fitted distribution from generalized hyperbolic distribution class on the given dataset. data(indices) # Multivariate case: aic.mv <- stepAIC.ghyp(indices, dist =

Sir, I want to apply mclapply() function for my analysis. So, I have to install multicore package. But I can not install the package. >install.packages("multicore") It gives that package multicore is not available. Can you help me? Regards, Suman Dhara [[alternative HTML version deleted]]

Hi, I want to fit moving average trend in R. In google, I see that it is in the package 'TTR'. But, I can't install this package. I have used the following code: >install.packages("TTR") But, it says there is no package called 'TTR'. Can you help me? Regards, Suman Dhara [[alternative HTML version deleted]]

Can you suggest me any way to remove a column of a data frame by the column number,not by the column name. Thanks, Suman Dhara [[alternative HTML version deleted]]

Sir, I want to export 10, say graphs using 'for' loop. What will be the command and format for exporting multiple plots. Regards, Suman Dhara [[alternative HTML version deleted]]

Sir, I'm writing a program in R that requires the user to provide a funtion. On the basis of the user provided function the program will proceed further and give results. Is there any technique in R that allow a user to give his own function and on the basis of that function the program will work. Regards, Suman Dhara [[alternative HTML version deleted]]

Hi all-- I'm new to R, statistics and programming, so sorry if this is a really basic question! I have plotted a directional variogram, and I want to a. overlay the omni-directional line over each directional panel b. display the directional variograms in a single panel with a legend that associated each line to each degree measurement. The line I'm using is

With ggplot2, I can plot the glm stat_smooth for binomial data when the response is binary or a two-level factor as follows: data("Donner", package="vcdExtra") ggplot(Donner, aes(age, survived)) + geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, formula = y ~ x, alpha = 0.2, size=2) But how can I

Hi, I would like to plot a bunch of tree ring width data (time series) using ggplots, but I'm having trouble figuring out how to do it. My data is in a data.frame, with years as rownames and a distinct tree ring series in each column. So, something like this: rwl<-matrix(rnorm(800), nrow = 100) colnames(rwl) <- paste('V', 1:8, sep = '')

Hi, I'm trying to fit a smooth line in a plot(y ~ x) graph. x is continuous variable y is a proportion of success in sub-samples, 0 <= y <= 1, from a Monte Carlo simulation. For each x there may be several y-values from different runs. Each run produces several sub-samples, where "0" mean no success in any sub- sample, "0.5" means success in half of the

Dear list users How is it possible to visualise both a linear trend line and a quadratic trend line on a plot of two variables? Here my almost working exsample. data(Duncan) attach(Duncan) plot(prestige ~ income) abline(lm(prestige ~ income), col=2, lwd=2) Now I would like to add yet another trend line, but this time a quadratic one. So I have two trend lines. One linear trend line

Hello, I drew a plot of weight and height of people and fitted it with a polynominal regression x^2. (using curve()) Now I would like to draw the confidence interval line for the fitted curve. Please kindly advise the code for the purpose. Thank you. Elaine [[alternative HTML version deleted]]

Hello, I's still working with my tsibble of weight data for the last 20 years. In addition to drawing an overall trend line, using lm, for the whole data set, I'd like to draw short lines that would recompute lm and draw it, say, just for the years from 2010:2015. Here's a short example that I think illustrates what I'm trying to do. The commented out sections show what