similar to: tail probability

Hi,   I use fCopulae package to draw different graphs of univariate and bivariate skew t.  But the plots titles overlap.  I tried using cex.main, font.main to adjust the size but they still overlaps.  Here is my code: par(mfrow = c(3, 1)) mu = 0 Omega = 1 alpha1 = 0 alpha2 = 1.5 alpha3 = 2 alpha4 = 0.5 Z1 = matrix(dmvst(x, 1, mu, Omega, alpha1, df = Inf), length(x)) Z2 = matrix(dmvst(x, 1, mu,

Hi r-users, I would like to overlap 2 ecdf plots.  I tried this below and it gives me two plots of ecdf but just both just in black. par(mar=c(4,4,2,1.2),oma=c(0,0,0,0),xaxs="i", yaxs="i") plot(ecdf(datobs)) lines(ecdf(gam_sum_gen)) Then I try to add colors etc and also the legend but fail. par(mar=c(4,4,2,1.2),oma=c(0,0,0,0),xaxs="i", yaxs="i")

Hi r-users,   I have this data below and would like to plot a barplot overlap with a line. This is my data: > hist_50     pdf_obs pdf_gen.50 1  0.000000   0.000000 2  0.083156   0.125366 3  0.132196   0.158230 4  0.126866   0.149432 5  0.120469   0.127897 6  0.121535   0.104096 7  0.103412   0.082171 8  0.082090   0.063539 9  0.065032   0.048408 10 0.050107   0.036470 11 0.036247   0.027236 12

Hi, I would like to overlap the cdf curve for observed and generated data  Here is my code: plot(cdf,main ="CDF of the sum for winter season-Hume",cex.axis=1.2,xlab="Rainfall (mm)", xaxs="i",yaxs="i",col=c("black","red"), lty=c(1,1),ylab="Cumulative probability", xlim=c(0,800),lwd=1) lines(ecdf(datobs))

Hi,   I would like to distinguish my plots using colors but I got error message.  How do I correct that?     plot(ecdf(z), main ="CDF for observed and simulated weighted sum",type="l",lwd=2,col="blue", xlab="Weighted sum (mm)", ylab="Cumulative Percent", xlim=c(0,15), xaxs ='i', yaxs ='i',ylim=c(0,1)) par(new=TRUE)

Dear r-users,   I have these data below:   I would like to compare each column with a certain value and count how many in each column less than that specified value.    odd column (1,3,5) will compare with 1.61 and even column (2,4,6) will compare with 75 and I would like to count how many for each column.      I tried these below but it give me just one set of data.   critical  <-

Dear r-users,   I have daily rainfall data from 1971 to 2000.  I would like to extract november and december data only.  I would also like to do column bind for november and december, therefore I would like to delete 31 December from december data so that the length of november and december are the same.  Hope somebody can help me.  I tried this below:   > kuantan.dt.1 <-

Hi r-users, I would like to add a plot of vertical line segment with arrow from (77,.6) to (77,0) and also a horizontal  line segment with arrow from (0,0.6) to (77,.6) .  So far this is what I have: plot(sq, cdf, type="l", lwd=4,col="blue",xaxs="i",yaxs="i", xlab= "Rainfall (mm)", ylab= "Random no.", main="Random number  and

Hi r-users,   I would like to compare the cdf between historical and predicted. My x.obs and x.pre are the frequency data in classes of 0-300. I tried: plot(ecdf(x.obs),ecdf(x.pre),type="l",col="red")   and it gives me: Error in plot.stepfun(x, ..., ylab = ylab, verticals = verticals, pch = pch) :   argument 4 matches multiple formal arguments   Thank you so much for any

Hi, I need some opinion.  I would like to use graph that I generate from R code and save it into word document.  Which format is better? pdf, jpeg or tiff? Thank you. [[alternative HTML version deleted]]

Hi r-users, How do we evaluate the summation of (1/m!) from 0 to infinity (for example). Any help is very much appreciated. Thank you.

Hi r-users,   I would like to use Kolmogorov smirnov test but in my observed data(xobs) there are ties.  I got the warning message.  My question is can I do something about it?   ks.test(xobs, xsyn)           Two-sample Kolmogorov-Smirnov test data:  xobs and xsyn D = 0.0502, p-value = 0.924 alternative hypothesis: two-sided Warning message: In ks.test(xobs, xsyn) : cannot compute correct

Hi R-users,   I would like to search for the values of seq that match my rand values.  In excel I will use =VLOOKUP(G2,$E$2:$F$32,2).  For example, for rand=.262 it will give me approximately seq=120 and rand=0.964293344, seq=460 and etc.   E           F     G cdf         seq   rand 0.00E+00    0     0.262123478 1.56E-03    20    0.964293344 1.55E-02    40    0.494827113 5.30E-02    60   

Hi R-expert, I try to eliminate 29 Feb but I got an error message below: feb_data1 <- Pooraka_data[Pooraka_data$Month=="2",] feb_28days <- feb_data1 [feb_data1$Day=="28",] feb_29days <- feb_data1 [feb_data1$Day=="29",] ## delete 29 Feb feb_no_29 <- feb_data1 [-(feb_29days),] feb_no_29 <- feb_data1 [-(feb_29days),] Error in xj[i] : invalid subscript

Hi,   Does R has something similar  to vlookup function in excel?   Thank you for the info. [[alternative HTML version deleted]]

Hi, I have a data below and would like to search for positive pairs only and form a new data set. ???????????X1??? ??? ??? ?X2 31.0 9.0 11.0 1.0 1.0 0.0 0.0 0.0 8.0 0.0 0.0 0.0 2.0 2.0 18.0 3.0 0.0 0.0 0.0 0.0 0.0 0.0 10.0 0.0 6.0 0.0 ... The new data will be X1'?? X2' 31.0 9.0 11.0 1.0 2.0 2.0 18.0 3.0 I tried to write the function as: y1y2 <-?

Hi R-users, Can Maple function be exported to R? I have a jacobian matrix (4X4)?from maple in algebraic form which involve modified Bessel function of the first kind. I just wonder whether we can use algebraic form into R before the value of the parameters can be estimated. Thank you so much for your attention and help.

Hi, Does anybody encounter the same problem when we overlap histogram and density     that the density line seem to shift to the right a little bit?           If you do have the same problem, what should we do to correct that?           Thank you.           par(mar=c(4,4,2,1.2),oma=c(0,0,0,0))     hist(datobs,prob=TRUE, main ="Volume of a catchment from four    

  Hi r-users,   I would like to use gev and my data (annual rainfall ) is as follows:   > head(dat,20) A B C D E F G H I J 1 45.1 41.5 58.5 50.1 46.0 49.1 37.7 49.1 59.8 54.0 2 50.3 39.8 49.4 56.4 49.4 48.8 42.1 49.8 49.4 58.3 3 41.7 39.3 44.6 39.1 35.7 41.5 40.8 40.8 38.5 45.6 4 50.7 33.9 48.4 28.2 35.5 39.1 61.4 17.0 30.7 38.3 5 39.3 30.6 46.9 23.8 25.8

Hi r-users,   Is there any quick way to write this label?   c("0","50","100","150","200","250","300","350","400","450", "500","550","600","650","700","750","800","850","900")   Thank you.