similar to: horizontal and vertical line with arrow in a plot

Hi r-users,   I would like to overlap a smooth line on the histogram.  I tried using spline but it does not work. sq     <- seq(0,900,by=50) sq.50  <- as.character(sq) datobs <- sum_pos ## first, plot histogram histo <- hist(datobs,breaks=sq,freq=F) ## extract counts from histogram and calculate the probability in ## each specified interval. Also check the length of the interval is

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 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 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 <-

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, 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.  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 r-users, I would like my axes to intersect at (0,0).  I tried  xaxs="i",yaxs="i" but it does not change anything.  I hope anybody can help me with this problem.  Here is my code. hist(datobs, prob=TRUE, main ="PDF of the sum of two stations",col="yellowgreen", cex.axis=1.2, xlab="Rainfall (mm)", ylab="Relative frequency", ylim=

Hi R-expert, If I have this daily rainfall data, how do call a particular day? Year,Month,Day,Amount 1900,12,22,1.3 1900,12,23,0 1900,12,24,0 1900,12,25,0 1900,12,26,0 1900,12,27,0 1900,12,28,0 1900,12,29,4.8 1900,12,30,0.3 1900,12,31,0.5 1901,1,1,0 1901,1,2,3 1901,1,3,0 1901,1,4,0.5 1901,1,5,0 1901,1,6,0 ... I used to use julian.date in S-Plus. Thank you so much for your kind 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, I would like to extract data in a specific way.  For example, the rainfall data 0,0,1.5,0,0, 3,1,2.5,0,0,0,0, 2.3,0,0,0, 2.1,1.4,0,0,0, 3,2,1,0,0,0... data_1: 1.5, 2.3               ( a single nonzero data between zeros data) data_2: 3.1, 2.5, 2.1,1.4   ( two nonzero data between zeros data) data_3: 3,1,2.5, 3,2,1       ( three nonzero data between zeros data) Thank you so much for any

Dear r-users, I would like to investigate about how to fill in missing data.  I started with a complete data and try to introduce missing data into the data series.  Then I would use some method to fill in the missing data and then compare with the original data how good it is.  My question is, how do I introduce missing data in my complete data systematically like for example every 10th data

Hi, I'm Roslina, PhD student of University of South Australia, Australia from school Maths and Stats. I use S-Plus before and now has started using R-package. I used to analyse rainfall data using julian date. Is there any similar function that you can suggest to me to be used in R-package? Thank you so much for your attention and help [[alternative HTML version deleted]]

Hi all, I would like to draw a side by side bar plot.  How can I adjust the the font size for the x-axis?  Furthermore, I'm not sure what to write for 'at=?'.  I tried cex.axis and cex.lab but still fail.  Here is my data and code:   > t(all)            0-100 100-150  150-200 200-250 250-300 300-350 350-400 400-620 obs_data 382.000 177.000 156.0000    93.0 69.0000  45.000

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, Is there any function in R that works similarly like solver in Excel. I have a set of daily rainfall data and I would like to estimate alpha and beta for the gamma function. Here is my daily rainfall data: [1] 0.2 1.2 0.0 0.0 0.0 0.0 0.0 0.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 4.8 1.6 0.0 1.8 1.8 0.0 2.6 [24] 33.0 19.0 0.0 0.0 0.6 0.0 0.0 6.8 0.2 0.0

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