similar to: How can I draw a line in empirical distribution function?

I am having following problem: I?m constructing model for calculation of area of triangle. I know sides a, b, and gamma angle. I wish to calculate the area using heron?s formula: S <- sqrt(s*(s-a)*(s-b)*(s-c)) where s <- (a+b+c)/2 and c is calculated using law of cosines: c <- sqrt(a^2 + b^2 -2*a*b*cos(gamma)) since i am calculating a regression model, i need derivation of this

I have found following problem: I have a vector: > a <- c(1.04,1.04,1.05,1.04,1.04) I want a mean of this vector: > mean(a) [1] 1.042 which is correct, but: > mean(1.04,1.04,1.05,1.04,1.04) [1] 1.04 gives an incorrect value. how is this possible? thanks, zbynek -- View this message in context: http://r.789695.n4.nabble.com/Incorrectness-of-mean-tp3327701p3327701.html Sent from the R

I am having problem using output of lm() function for further analysing using systemfit package. Basicaly, the problem s following - I generate several formulas using lm() > fo1 <- lm(r98[,2] ~ f98[,1] + f98[,2] + ... + f98[,43]) > fo2 <- lm(r98[,1] ~ f98[,1] + f98[,2] + ... + f98[,43]) and than I want to estimate a general model using package systemfit. > fitsur <-

Rers: I can't seem to locate the command to suppress what appears to be a faint internal grid when running the following command to make a filled contour plot of some data I have (x,y,z being the inputs):

Hi, I have a dataset and I want to fit a function to it. The function is variogram model (http://en.wikipedia.org/wiki/Variogram) The variogram model is defined by three parameters and I want them to be automatically optimized for real time data. I tried to use gafit {gafit} for this, but there are some data configuration, where optimal results given by gafit() are negative, which is not correct

hi wich soft phone do you recomend but i need this feature it must ask for user name and password when it start. i know xline and zoipper but they dont have that i can acomplish this whit twinkle but i need it for Windows :-( any ideas? thanks -- (\__/) (='.'=)This is Bunny. Copy and paste bunny into your (")_(")signature to help him gain world domination. -------------- next

Hi, Still fresh in R, tried to figure this out, now on my second day running with no luck (and a pile of hair on my desk) so I have thrown in the towel and would like to ask for some help. Here is what I am trying to do. I am trying to plot a distribution, I have 99 points, bound in the range xlim.min: -0.0173 xlim.max: 0.02103 However, I have a value outside this range (0.2454959) which I

Hi. Performing a DNS search for a hostname results in a segmentation fault: ## Debian 10 Buster 64bit root at hostxzy:~# net ads dns gethostbyname name $(hostname) Bad talloc magic value - unknown value PANIC (pid 15749): Bad talloc magic value - unknown value BACKTRACE: 12 stack frames: ?#0 /lib/x86_64-linux-gnu/libsamba-util.so.0(log_stack_trace+0x32) [0x7f0827 a408d2] ?#1

Hi. I use winbind + squid on Debian Buster to authenticate users + authorize them based on groups they are in. It all works, well, good, but winbind's CPU utilization peaks can reach up to 100%. The same solution ran OK on Debian Jessie with up to 20% CPU utilization at most. The configuration of Buster must have been updated based on the samba version leap/shift compared to Jessie. On

Hello, 1) Thanks - shorewall save me a lot of time! 2) I try - exactly: I must :-) - configure a VPN server behind 2 NATs. My situation: RoadWarior - INet - ISP Router (NAT+PortForwarding) - Inetranal Router (running Shorewal, NAT+PortForwarding) - Inetranl VPN Server If RoadWariror try to connect Internal VPN Server then connection failed with "GRE: Bad check chcksum from pppd"

Here are another three problems with logarithmic scales: 1) segments() does not work with logarithmic scales. I suggest to change lines 962-973 in "plot.c": for (i = 0; i < n; i++) { if (FINITE(xt(x0[i%nx0])) && FINITE(yt(y0[i%ny0])) && FINITE(xt(x1[i%nx1])) && FINITE(yt(y1[i%ny1]))) { GP->col = INTEGER(col)[i % ncol];

Dear R-helpers, I'm having trouble compiling R packages from source on Win2K. I installed R 1.7.1beta [1] on my win2k machine [2], downloaded the fields package as source [3] and tried but failed to install the package [4]. I get the same problem with other packages, so it doesn't appear to be limited to fields. Installation of precompiled packages seems to work fine. I've been

Hello, I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of my 2 groups. (see picture) Unfortunately I need a larger scale to read the exact prediction of my groups to get the specificity and sensitivity. I tried to change the scale with "axis" but it didn't work, my guess because it's not a normal graph with x and y axis. Has someone an idea

I was wondering about general stability of glusterfs on 32 bit x86 Linux. I have it running without problems on some lightly used 32 bit systems, but this scares me a bit if I decided to use it in production[1]: While the 3.x versions of Gluster will compile on 32bit systems we do not QA or test on 32-bit systems. We strongly suggest you do NOT run Gluster in a 32-bit environment. I was

I am returning to using R after a little time away. Saw some great new functions in the fields package and decided to upgrade. Everything seems to go fine until I tried to actually load the package, when I get an error: >library(fields) Error in parse(file, n, text, prompt) : syntax error on line 227 And (of course) I am unable to access any of the functions in the fields package. Below is

I try tu use mob() with my data.frame ('data.frame': 288 obs. of 81 variables; factors, numerics and ordered factors) My response is a binary variable and I should use for modelling a logistic regression (family=binomial). I read in the "MOB" Vignette that I could use a formula like this if I would like to have only partitioning variables apart from the response.

Hi, I installed absolutely new installation of CentOS 4.3 from DVD media and I unchecked every additional packages. After that I perform # yum upgrade and install wanted packages # yum install samba-client installed packages are samba-common-3.0.10-1.4E.6 samba-client-3.0.10-1.4E.6 SELinux and iptables are disabled. But if I can try to mount my server public share #mount -t smbfs -o

I wish to pass a vector ``y'', some of whose entries are NAs to a fortran subroutine which I am dynamically loading and calling by means of .Fortran(). The subroutine runs through the vector entry by entry; obviously I want to have it do one thing if y[i] is present and a different thing if it is missing. The way I am thinking of proceeding is along the xlines of: ymiss <- is.na(y)

Dear Sir/Miss: I'm very sorry to bother you,but I've found a bug in the Speex,Version 1.2beta1,and also I've have some questions. I'm deeply impressed by the work you have done in the coding and decoding of speech signal.But when using speex,I encoutered a bug,that is when in 32K mode,the window size is still 200 samples,but not 400 samples,the bug will bring the problem of

I am calling quantiles as follows. I don't understand why sometimes the columns (data values) above 95% are returned as "NULL"!! When I drop the percentile down to 92%, I see colums appearing. Why would any quantile be empty? I see sometimes that 95% percentile is being chosen as "1" for my data between 0 and 1, where obviously there's no column value equal to 1. But