similar to: na.rm problem

Hi, How can we plot two graphs ex. lets say correlation & ratio in the same window? I mean in the window I have : 1. Graph of correlation having X & Y axes 2. Graph of ratio having A & B axes one above the other. Thanks, Sonal

Hi all, I would like to flag each record in the data according to certain conditions as specified below. For example, If "Close_date" in *dat* is between ("Open" & "Close") or ("Open1" & "Close1") or ("Open2" & "Close2") in *oc, *flag the records as "Valid", otherwise "Invalid" I would like to

Dear "R-listers" I've been trying to figure out how to annotate charts in ggplot (ie add text to line charts, highlighted boxes etc). By and large, I can get close to what i want with base graphics, but would ideally like to use ggplot whenever possible (additionally, i would like to add text labels automatically to the chart). The code is below I suspect I need to use geom_rect,

Hi, How do we find out the inner product & norm of eigen vectors in R? Lets say we have eigen vectors : x1 = 1,2,3 and x2 = 2,-3,4 are there any functions buit in R which directly calculate the inner product & norm of vectors? Thanks, Sonal. [[alternative HTML version deleted]]

Hi, I tried to make my Linux box smbmount a remote share originating from a Macintosh running the commercial package DAVE 2.5. The Linux box is a RedHat 6.0 with a 2.2.14 kernel (with smbfs inserted as a module) and samba-2.0.3; the iMac ran MacOS9. The directory to be shared, \\akemi\archivio, contained two files, aaa and bbb. Here's what happened: [root@sonal ~]# smbmount

Dear R-users, Recently I had to analyze a dataset from household survey. The sample design ensured, that each household in the population has the same probability of being sampled. However the data were gathered from only one adult individual in each household, who was randomly choosen by an interviewer (via "Kish grid"). To equalize the probabilities for each INDIVIDUAL a casewise

Is it true that every time we make a change in the configuration file we need to restart the asterisk server. This will not be practical in the production environment. Thanks,

Full_Name: Marek Ancukiewicz Version: 1.8.1 OS: Linux Submission from: (NULL) (132.183.12.87) Function cor() incorrectly handles missing observation with method="spearman": > x <- c(1,2,3,NA,5,6) > y <- c(4,NA,2,5,1,3) > cor(x,y,use="complete.obs",method="s") [1] -0.1428571 >

This message is in response to Flash operator problem. My op_server.pl seems to be same. I also created the variable.txt to the /var/www/html/panel folder and when I run htt://192.168.0.0/panel it just says at the bottom transferring data. I don't see anything on the screen. I also checked my manager.conf file. I was able to telnet into the manager interface and it's running fine. So I am

Arrrrr, I think I've found a bug in the behavior of the stats::cor function when NAs are present, but in case I'm missing something, could you look over this example and let me know what you think: > a = c(1,3,NA,1,2) > b = c(1,2,1,1,4) > cor(a,b,method="spearman", use="complete.obs") [1] 0.8164966 > cor(a,b,method="spearman",

I am trying to setup the call manager and I configured the manager.conf file. When I try to telnet 0.0.0.0 5038 It says trying 0.0.0.0 >>>>> > Connected to localhost > Escape character is '^]'. > Asterisk Call Manager/1.0 > Then I type > Action:Login (enter) > Username:sam > Secret:sam > Then I enter twice > > I get Response: error

I'm using the CRRBinomialTreeOption function (in package "fOptions") with a loop for pricing a large number of options. But I can't transfer the values obtained from this function to a "numeric" matrix as the outcome of this function is not a simple numeric. The following is the piece of code: # USING THE FUNCTION library(fOptions)

Dear All I am kind of stuck up with a code a part of which seems to be causing a problem, or at least I think so. May be the community can help me. It’s simple but I suppose I am missing something. I generate a data matrix X, say of order n*p, where n represents independent row-vectors and p correlated col vectors. Let the row representation be X = (X’_1, . . ., X’_n)’. I generate the

I found this paper on ANOVA on unequal error variance. Has this be incorporated to any R package? Is there any textbook that discuss the problem of ANOVA on unequal error variance in general? http://www.jstor.org/stable/2532947?cookieSet=1

Hello, I?ve tried several times to learn R, but have never gotten past a particular gate. My data are organized by column in Excel, with column headers in the first row. The columns are of unequal lengths. I export them as CSV, then import the CSV file into R. I wish to summarize the data by column. R inserts NA for missing values, then refuses to operate on columns with NA. R is importing

Hello, I have some patient data for my masters thesis with three groups (n=16, 19 & 20) I have completed compiling the results of 7 tests, for which one of these tests the variances are unequal. I wish to perform an ANOVA between the three groups but for the one test with unequal variance (<0.001 by both bartlett and levene's test) I am not sure what to do. I thought i would run

I find myself needing to ask a very basic question. Specifically, what do we expect "must alias" to mean in practice? Consider a simple example: load i64, i64* %p %p.i32 = bitcast i64* %p to i32* load i32, i32* %p.i32 Given two memory locations which describe the two memory accesses of these loads, do we expect that alias analysis returns MustAlias?  That is, when we have two

Hello- I have run an ANOVA on 4 treatments with unequal sample sizes (n=9,7,10 and 10). I want to determine where my sig. differences are between treatments using a Bonferroni test, and have run the code: pairwise.t.test(Wk16, Treatment, p.adf="bonf") I receive an error message stating that my arguments are of unequal length: Error in tapply(x, g, mean, na.rm = TRUE) :

Hi all, I have probably a basic question, but I can't seem to find the answer in the literature or in the R-archives. I would like to do a robust ANCOVA (using either rlm or lmRob of the MASS and robust packages) - my response variable deviates slightly from normal and I have some "outliers". The data consist of 2 factor variables and 3-5 covariates (fdepending on the model).

Hi, How can I read data of unequal number of observations (rows) as is (i.e. without introducing NA for columns of less observations than the maximum. Example: A B C D 1 10 1 12 2 10 3 12 3 10 4 12 4 10 5 10 Thanks in advance. Sachin --------------------------------- [[alternative HTML version deleted]]