search for: 0.6

Hi all, I'm trying to filter data into respective numbers. For example, if the data ranges from 0 to <0.1, group the data. And so on for the rest of the data. There are inconsistencies in the output. For example, b1[[3]] lumps all the 0.2s and 0.3s together while 0.6s are not in the output. Running the function - table(f1) - shows that each of the components/numbers has x number of

The example here puzzles me. It seems like the < operator doesn't work as expected. > l <- 0.6 > u <- seq(0.4, 0.7, 0.1) > u [1] 0.4 0.5 0.6 0.7 > mygrid <- expand.grid("l" = l, "u" = u) > mygrid l u 1 0.6 0.4 2 0.6 0.5 3 0.6 0.6 4 0.6 0.7 > mygridcollapsed <- mygrid[mygrid$l < mygrid$u, ] > mygridcollapsed l u 3 0.6 0.6 4

Hello, i wrote this function guete and now i want to plot it: but i get this error message. i hope someone can help me. Error in dim(robj) <- c(dX, dY) : dims [product 16] do not match the length of object [1] p_11=seq(0,0.3,0.1) p_12=seq(0.1,0.4,0.1) guete = function(p_11,p_12) { set.seed(1000) S_vek=matrix(0,nrow=N,ncol=1) for(i in 1:N) { X_0=rmultinom(q-1,size=1,prob=p_0)

Hi, I just observed a strange behavior in R. The rnorm function does not give me the numbers with a given length. I think it is somehow related to the internal representation of double-type numbers but I am not sure if this is supposed to happen. Below is a reproducible example ``` ## Create a list, we will only take the forth value, which is 0.6 nList <- seq(0,1,0.2) n <- nList[4] n # [1]

hi i try to do a graph of a time series which shows in red the values > -0.05, in blue the values >0.05 and in white the values between -0.05 and 0.05 for un exemple :http://www.appinsys.com/globalwarming/enso.htm thanks !!!!! denisse -- View this message in context: http://r.789695.n4.nabble.com/how-to-do-a-graph-with-tree-different-colors-tp4635206.html Sent from the R help mailing

http://bugs.freedesktop.org/show_bug.cgi?id=13750 Summary: Repetitively Taking Screenshots Causes the X Server to Hang Product: xorg Version: 7.2 Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component: Driver/nVidia (open) AssignedTo: aplattner

Hi, I'm looking the best way to fill irregular polygons with patterns, Something like the function grid.pattern do, but my case is with irregular polygons. Whit this script I can get it, but I'm looking for an "elegant" solution.. library(grid) grid.polygon(x=c(0.2, 0.8, 0.6, 0.6, 0.8, 0.2), y=c(0.2, 0.2, 0.3, 0.5, 0.7,0.7), gp=gpar(fill="grey",

Hello > orderulcount Group.1 Group.2 Group.3 x V5 7 C L 0.0 30 C / L 19 C L 0.2 27 C / L 31 C L 0.4 15 C / L 43 C L 0.6 7 C / L 54 C L 0.8 2 C / L 10 C S 0.0 27 C / S 22 C S 0.2 10 C / S 34 C S 0.4 6 C / S 46 C S 0.6 1 C / S 1 D

Hello, Searching this forum has enabled me to get pretty far in what I'm trying to do. However, there is one more manipulation I would like to make and I haven't found a solution. Using the data and code below, I generate the plot produced by the last command. If possible I would like to reverse the order of the y-axis (bearing in mind horizontal=T) so that 0 is plotted at the upper

Dear list members, I am new member and fairly new into R world! I hope what I have is not beyond the purpose of this list. I did first search for similar experimental designs without success. I want to perform an ANOVA analysis using the aov() function. I am not 100% sure that I have it right. If anyone can help me, that will be greatly appreciated. My design is not balanced for any of the

Bonjour I have this data frame and I am newbie in R. I want to ask if it is possible to draw 10 lines in a plot such that: a line for every colomn, the x - axis is the second column and the y-axis is the third one. Thank you for any input 1 0 1094442 1 0.2 1163576.2 1 0.4 1238539.6 1 0.6 1303510.4 1 0.8 1376573.2 1 1 1454175 2 0 1076068 2 0.2 1139246 2 0.4 1212344 2

Dear R Users, Could you please help me on the following issue? I have a real large yearly data set. For each year I have 365 flow values. Some of the flow values are not known and that’s why you will see NA written in those slots. I wanted to know, is there a way that I can estimate those values? I tried approx command but it seems least helpful for the kind of issue I am up against.

Folks, The contour() function wants x and y to be in increasing order. I have a situation where I have a grid in x and y, and associated z values, which looks like this: x y z [1,] 0.00 20 1.000 [2,] 0.00 30 1.000 [3,] 0.00 40 1.000 [4,] 0.00 50 1.000 [5,] 0.00 60 1.000 [6,] 0.00 70 1.000 [7,] 0.00 80 0.000 [8,] 0.00 90

Full_Name: alex Version: 2.8.1 OS: Ubuntu / MacOSX Submission from: (NULL) (162.38.183.51) > 0.6==0.6 [1] TRUE > seq(0,1,0.1)==0.4 [1] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE > seq(0,1,0.1)==0.6 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > seq(0,1,0.1)==0.8 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE

Dear R users, I am trying to fit a GLMM to the following dataset; tab a b c 1 1 0.6 199320100313 2 1 0.8 199427100412 3 1 0.8 199427202112 4 1 0.2 199428100611 5 1 1.0 199428101011 6 1 0.8 199428101111 7 0 0.8 199527103011 8 1 0.6 199527200711 9 0 0.8 199527202411 10 0 0.6 199529100412 11 1 0.2 199626201111 12 2 0.8 199627200612 13 1 0.4 199628100111 14 1 0.8

Hallo, I was trying some code, but couldn't make one step of the code properly. Can anybody please help me? I have one matrix like this > values [,1] [,2] [,3] [,4] [,5] [1,] 0.7777778 0.36111111 0.22222222 0.1388889 0.0000000 [2,] 1.0000000 0.00000000 0.53846154 0.0000000 0.5384615 [3,] 0.5200000 0.48000000 0.64000000 0.0000000 0.8800000 [4,] 0.8928571

Dear r users, I have 4 variables x1,x2,x3,x4 and each one has two levels, for example Y and N. For x1: prob(Y)=0.6, prob(N)=0.4; For x2: prob(Y)=0.5, prob(N)=0.5; For x3: prob(Y)=0.8, prob(N)=0.2; For x4: prob(Y)=0.9, prob(N)=0.1; Therefore, the sample space for (x1, x2, x3, x4)={YYYY, YYYN, YYNY,......} (16 possible combination) and the corresponding probabilities are {(0.6)(0.5)(0.8)(0.9),

I experienced the following problem with R 1.3.0 which is probably a bug. The program hangs-up if 1.) a coordinate of segments is outside the ploting region and 2.) the option log="x" is used. ## ## works fine ## plot(1,1, xlim=c(0.5, 2), ylim=c(0.5, 2)) segments(0.5 , 1.2, 1, 0.6) segments(0.25, 1.2, 1, 0.6) segments(1 , 1.2, 1, 0.6) ## ## hang-up ## plot(1,1, xlim=c(0.5, 2),

Hello, everyone, I have a question about integration of product of two densities. Here is the sample code; however the mean of first density is a function of another random variable, which is to be integrated. ## f=function(x) {dmvnorm(c(0.6, 0.8), mean=c(0.75, 0.75/x))*dnorm(x, mean=0.6, sd=0.15)} integrate(f, lower=-Inf, upper=Inf) ## error message Error in dmvnorm(c(0.6, 0.8), mean = c(0.75,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 opusfile version 0.6 I'm pleased to annouce the latest development release of the opusfile playback library. Changes since the v0.5 release: - Fix bugs with comment handling - Fix build for BSD - Fix bugs handling invalid and non-opus streams Some of these bugs kept basic functionality of the APIs from working at all, so we recommend all