similar to: sum to infinity

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

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 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-users,   I have this data below.  I would like to obtain the weekly rainfall sum.  That is I would like to find sum for day 1 to day 7, day 8 - day15, and so on.    year month day rain 1  1922     1   1  0.0 2  1922     1   2  0.0 3  1922     1   3  0.0 4  1922     1   4  0.0 5  1922     1   5  0.0 6  1922     1   6  0.0 7  1922     1   7  0.0 8  1922     1   8  6.6 9  1922     1   9  1.5 10

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-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 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 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,   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.

  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

Dear r-users, I have dailly rainfall data from year 1971 to 2000. I use aggregate to form monthly rainfall data.  What I don't understand is that the data for the year 2000 become on the top, instead of year 1971.  Here are some codes and output: agg_dt1     <- aggregate(x=dt1[,4],by=dt1[,c(1,2)],FUN=sum) > head(agg_dt1,20); tail(agg_dt1,20)    Tahun Bulan     x 1      0     1 398.6

Hi R-users, Does R has a topic on newton's method? Thank you for the info.

Hi r-users,   I would like to know how to put all the data that is greater than certain value in certain cell for my histogram.  For example, since maximum value of p1 is 588 it doesn't fit in the breaks that we specified.  Can we write breaks >300?   max(p1[,2]) pre.hist <- hist(p1[,2],breaks = c(0,50,100,150,200,250,300),right=FALSE)   > max(p1) [1] 587.2761 > pre.hist <-

Hi r-users, I have this code here : dt   <- winter_pos_sum bt   <- c(24.96874, 19.67861, 23.51001, 19.86868); round(bt,2) alp  <- c(2.724234, 3.914649, 3.229146, 3.120719); round(alp,2) bt_min  <- min(bt) ; bt_min p       <- alp_sum    ; p t  <- 50 t1 <- t+1             #first get the sum over the eigenvalues for a particular power i gam_sum <-

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 have this code to uniformise the data using gamma: > length(dp1) [1] 696 > dim(dp1) [1] 58 12 > dim(ahall) [1]  1 12 > dim(bhall) [1]  1 12 > trans_dt <- function(dt,a,b) + { n1 <- ncol(dt) +   n2 <- length(dt) +   trans  <- vector(mode='numeric', length=n2) +   dim(trans) <- dim(dt) +   for (i in 1:n1) +   {  dt[,i] <- as.vector(dt[,i])