similar to: calculation problem when export and import data

Thanks in advance! A=c(1, 2,3) B=c (9, 10, 11, 12) I want to get C=c(1*9, 1*10, 1*11, 1*12, ....., 3*9, 3*10, 3*11, 3*12)? C is still a vector with 12 elements Is there a way to do that? -- View this message in context: http://r.789695.n4.nabble.com/how-to-calculate-the-product-of-every-two-elements-in-two-vectors-tp2300299p2300299.html Sent from the R help mailing list archive at Nabble.com.

Hello, I am frastruated with this graph, just cannot get what I need. Thank you for any suggestions or help. I really appreciate it. I wrote the following code, but there are 3 problems 1, the red line is added on the graph but without any marker on the y-axis. I want to display the number '.1361' on the y-axis. So people can easily tell 'method 2' gets a constant estimate, which

Hello, I am working on seperate the matrix to two matrices but got trouble on doing it. Please give me some suggestions on doing this. Thanks a looooooooooooot! My original matrix m is as follows for example, [,1] [,2] [,3] [1,] 6 8 1 [2,] 5 9 2 [3,] 20 10 3 [4,] 7 11 4 [5,] 8 12 5 [6,] 25 13 6 [7,] 14 14 7 I want to generate two

Dear R experts, Can R make an usual dotplot just like Minitab and other softwares? I have the following data, and can use dotchart to graph a dotplot: y=c(2.873438152e-01, -8.732895642e-01, 4.579001889e-01, 1.047395204e+00, 8.491182299e-02 , -1.938007105e+00, -1.273708343e+00, 9.848010588e-05, 7.238490734e-01, -1.490552717e+00) dotchart(y, xlab="10 observations from

Hello list, I wrote a simple program to plot data on polar axes, taking advantage of the plotrix package and its function radial.plot. The basic plot works fine, but I am having difficulties with the formatting. There are three problems, but I thought I would attack them one at a time. Here is the first: If my data set contains values with all vector lengths between 0 and 100 (and various

a graph question. Thanks a lot in advance. I made two scatterplots on one graph (sigma vs. delta1, sigma vs. delta2) (20 observations of delta1, delta2 and corresponding sigma) the x-axis is sigma, the y-axis is either delta1 or delta2. I connected both scatterplots. To seperate them, one curves is a line with circles, the other curve is a line with squares on it. I want to make a notation

Hello, I am doing a if else statement in R. But it always comes out error such as 'unexpected symbol' There are two variables. ini and b. when ini=1, a=3; when ini>1 and b>2, a=3; all other situations, a=6. I don't know where it is wrong. Here is my code ini=3 b=4 if (ini==1) { a=3 } else if (ini>1 and b>2 ) { a=3 } else {a=6} Thanks a

Hello, Sorry. It may be a stupid question. I have two vectors a<-c(9,3,5) b<-c(3,4,1) How can I get the variance-covariance matrix of these two vectors? I tried cov(a,b), I got a number not a matrix. I tried to transpose vector a and b as t(a) and t(b), it still cannot work. Any suggestions? Thank a lot! -- View this message in context:

If you select an option that's not listed during ipv4/ipv6 setup it will accept it without verification. This corrects that behavior and forces a valid option to be picked. --- scripts/ovirt-config-networking | 106 +++++++++++++++++++++------------------ 1 files changed, 58 insertions(+), 48 deletions(-) diff --git a/scripts/ovirt-config-networking b/scripts/ovirt-config-networking index

If the vlan kernel argument is provided, then it is used during networking auto-configuration. Signed-off-by: Darryl L. Pierce <dpierce at redhat.com> --- scripts/ovirt-config-networking | 56 ++++++++++++++++++++++++++++++++------ scripts/ovirt-early | 7 ++++- 2 files changed, 53 insertions(+), 10 deletions(-) diff --git a/scripts/ovirt-config-networking

Hi I am using mathematical anotation to make the labels in a barplot in italics. as an example (adapted from http://finzi.psych.upenn.edu/R/Rhelp02a/archive/129808.html): tt <- c("italic(First~~set)", "italic(Second~~set)", "italic(third~~set") barplot(1:3, names.arg=parse(text=tt)) But I would like to have it with "set" in a second column, like tt

hi R-help! I would like to know a simple and easy way (if posible) to do the following data manipulation. I have a matrix of experimental data (with replicae in time) >experiment<-data.frame(times=c(0,0,10,10,20,20,30,30),expval=c(1,1,2,2,3,3,4,4)) > experiment times expval 1 0 1 2 0 1 3 10 2 4 10 2 5 20 3 6 20 3 7 30 4 8

Dear all, I produced a part of code which does what needed but by estimations I would need to wait for that for 300 hours!!! Maybe someone can give a me a glance advice or something. Thanks a lot! I need to define maximum adjusted R-squares from regression model: returns as dependent variable( here simulated to be normal) and 3 factors out of say 14 independent (simulated here). I need to run lm

I am trying to run this loop but it keeps coming up with the following error: 'Error: no function to return from, jumping to top level' n.simul <- 1000 A <- {for(i in 1:12){{ nT <- rpois(n.simul, T[i]) nP <- rpois(n.simul, P[i]) nD <- rpois(n.simul, D[i]) nC <- rbinom(n.simul, nT, C[i]) Score <- (5*nT + 2*nC + 3*nP + 3*nD) } return(Score)}} My aim is to calculate

Please give me some help, many thanks. I graphed a expected CDF line of a binomial distribution on a graph, And I have some observed points (observed CDF) from 4 groups fall on the smooth CDF line. I cannot really get the legend I want legend ('topleft', c('a, 'b', 'c', 'd', 'expected CDF'), col=c(1,2,3,4), pch=c(0,1,2, 3, '' ),

Hello all, I am conducting a randomization test on a given dataset. One of the covariates, gender, is randomly assigned 1000 times to create a randomization dataset (rand.data). To these 1000 datasets, I fit a full model (see below) and the aim is to generate a distribution of LRT statistic under the null. Here are some of the questions I have: 1. I am using for() loop to fit the dataset

When the user runs o-c-networking then it ensures that all features of networking that we configure are reset and only those settings touched are applied. Signed-off-by: Darryl L. Pierce <dpierce at redhat.com> --- scripts/ovirt-config-networking | 46 +++++++++++++++++++++++++------------- 1 files changed, 30 insertions(+), 16 deletions(-) diff --git a/scripts/ovirt-config-networking

Suppose there are 4 variables d is a function of a , b and c I want to know how a, b and c change will make d change It will be straightforward to see it if we can graph the d surface if d is only a function of a and b, I can use 'persp' to see the surface of d. I can easily see at what values of a and b, d will get the maxium or minium or multiple modes, etc But for 4 dimention graph,

I have a question about the lme function in R. My question is: After I got the object from function lme, why the numIter value of the object is always NULL? Following is my code: jjww<-lme(y~x*zz,data=simul,random=~x|group, control=lmeControl(returnObject=TRUE)) attributes(jjww) jjww$numIter the first 20 observation of data simul are: > simul y

Good afternoon, I have a question on generating simple randomization data. Thanks for any suggestions. Two normal distribution N(0,1) and N(1,1) A: I want to generate 20 data, 10 from N(0,1) and 10 from (1,1). each observation's indicator (either is from N(0,1) or N(1,1) ) is randomized. I need use the frist 10 data from the generated 20 dataset. (it is not necessary 5 from N(0,1) and 5