similar to: calculating probability

Dear all, I have the cdf of the following power fuction distribution: F(y)=(y/350)^a               ,0<y<350, where " a " is some parameter with range a>0. I want to use it as the argument of the discretize function of the actuar package. So I think I need to define this function to R so that if I entered a=1, I get the following F(y)=(y/350) and if I entered a=4.5, I get the

I first answered to the email below in r-help, but as I did not see any response, and it looks like a bug/unwanted behavior, I am also posting here. I have observed this in RGui, whereas it seems not to happen in RStudio. Similar to OP, I sometimes have a problem with functions using the progress bar. Frequently, the console is cleared after x iterations when the progress bar is called in a

Hi all, I want the y-axis label to be ( in symbols) g(sigma given alpha) where given is the conditional sign. I've tried ylab=expression(g(sigma|alpha))) but it gave me g(|(sigma,alpha)) where the sigma and alpha are in greek but the conditional sign is misplaced (before the bracket) Any help would be appreciated. Maram. [[alternative HTML version deleted]]

Hi all, I've a question concerning the R 3.3.1 version. I have a long code that I used to run on versions earlier to the 3.3.1 version, and when I copied the code to the R console, I can still see the code while the loop is executing , along with the output printed after each iteration of the loop. Now, on the 3.3.1 version, after I copy the code to the console, it disappears and I only see

Hi all, I've a question concerning the R 3.3.1 version. I have a long code that I used to run on versions earlier to the 3.3.1 version, and when I copied the code to the R console, I can still see the code while the loop is executing , along with the output printed after each iteration of the loop. Now, on the 3.3.1 version, after I copy the code to the console, it disappears and I only see

Hi all, I've a linear equation of the form: 0.95=2 ( [3+ln(x/3)]^-13  + 4 [3+2ln(x/3)]^-13  + [3+4ln(x/3)]^-13 ) and I want to solve it for x, can I do this using R? Thanks in advance. Maram. [[alternative HTML version deleted]]

Dear All, Attached are the codes of a histogram & a kernel density estimate and the output they produced. In fact the variable q is a vector of 1000 simulated values; that is I generated 1000 samples from the pareto distribution, from each sample I calculated the value of q ( a certain fn in the sample observations), and thus I was left with 1000 values of q and I don't know the

Hi all, I'm using a certain  procedure to calculate the value of some variable(Bayes risk),B. So I got the values B1, B2, ........, B1000, each under certain input values and using a long procedure. Now, I want to put the values I got in a nummerical vector and find their minimum value. I think c( ) should work.For example if I have only 10 values I could have used

Dear all, How can I use the histogram density estimate (hist) to find the value of the cdf at a certain point? Thanks Maram [[alternative HTML version deleted]]

I have no idea to be honest. I have never used the package, I simply did a search for it. Hopefully a more experienced user can help --- On Sun, 7/12/09, maram salem <marammagdysalem at yahoo.com> wrote: > From: maram salem <marammagdysalem at yahoo.com> > Subject: Re: [R] (no subject) > To: "John Kane" <jrkrideau at yahoo.ca> > Received: Sunday, July 12,

Dear All, I have a matrix m of the form  m             [,1]             [,2]   [1,]  9072.302 0.00000004462366   [2,]  9086.811 0.00000005628169   [3,]  9101.320 0.00000007126347   [4,]  9115.830 0.00000008986976   [5,]  9130.339 0.00000011260000   [6,]  9144.848 0.00000014018405   [7,]  9159.357 0.00000017344229   [8,]  9173.866 0.00000021363563   [9,]  9188.375 0.00000026389996  [10,]  9202.884

Sorry, I didn't mean a linear equation, of course this equation is not linear, I meant an equation in one unknown. Hi all, I've a linear equation of the form: 0.95=2 ( [3+ln(x/3)]^-13? + 4 [3+2ln(x/3)]^-13? + [3+4ln(x/3)]^-13 ) and I want to solve it for x, can I do this using R? Thanks in advance. Maram. ? ? ? ??? [[alternative HTML version deleted]] -------------- next

I would like to ask once more if this is reproducible also for others? If yes, should I submit it as a bug-report? Best, Jon On 11/28/2016 11:26 AM, Jon Skoien wrote: > I first answered to the email below in r-help, but as I did not see > any response, and it looks like a bug/unwanted behavior, I am also > posting here. I have observed this in RGui, whereas it seems not to >

Dear group, Thank u so much 4 ur help. I've tried the link, http://finzi.psych.upenn.edu/R/library/quantreg/html/akj.html for adaptive kernel density estimation. But since I'm an R beginer and the topic of adaptive estimation is new for me, i still can't figure out some of the arguments of akj(x, z =, p =, h = -1, alpha = 0.5, kappa = 0.9, iker1 = 0) I've a vector of 1000 values

Dear All, I'm trying to plot a histogram (with the relative frequencies as the Y axis), But the scale of the y axis is given by 0e+00, 1e-04, 2e-04, 3e-04,......... Now, I have 2 questions 1- Does (1e-04=0.01831563)? 2- If this true,how can i change the given scale to (0.01,0.03,0.05,0.07,0.09)? [[alternative HTML version deleted]]

Dear All, I have a variable q which is a vector of 1000 simulated positive values; that is I generated 1000 samples from the pareto distribution, from each sample I calculated the value of q ( a certain fn in the sample observations), and thus I was left with 1000 values of q and I don't know the distribution of q. Hence, I used the given code for kernel density estimation to estimate the

Dear all, I want to use the histogtam as a density estimator, with the binwidths calculated using scott's formula which is binwidth = 3.49*ST.dev.*n^(-1/3) for the following data  (30 data points) 12-9-3-6-1-23-21-7-18-16-15-4-19-22-20-2-3-18-8-10-1-7-5-4-11-12-3-9-19-7 so first,I' ve tried this manually, and substituted in the above formula and I got st.dev.=7.02745 and thus the

--- On Tue, 6/30/09, maram salem <marammagdysalem at yahoo.com> wrote: > From: maram salem <marammagdysalem at yahoo.com> > Subject: [R] (no subject) > To: r-help at r-project.org > Received: Tuesday, June 30, 2009, 6:34 AM > Hi Group, > I've a vector of 1000 numeric values for which I want to > draw a histogram. I've read this vector into R with no >

Hi Group, I've a vector of 1000 numeric values for which I want to draw a histogram. I've read this vector into R with no variable name.I mean only the 1000 values, which makes V1 the name of the variable by default?? Then I tried > hist(V1, breaks = "Sturges", +      freq = NULL, probability = !freq, +      include.lowest = TRUE, right = TRUE, +      density = NULL, angle =

Hi, I have a GAM quasipoisson that I'd like to run through MuMIn package - dredge - gettop.models - model.avg However, I'm having no luck with script from an example in MuMIn help file. In MuMIn help they advise "include only models with smooth OR linear term (but not both) for each variable". Their example is: # Example with gam models (based on