similar to: Bioassays Yielding concentration-Mortality data

Displaying 20 results from an estimated 100 matches similar to: "Bioassays Yielding concentration-Mortality data"

2003 Dec 01
0
Cluster analysis for multinominal data?
Dear all, Are there some other clusters algorithms suitable for multinominal data (except DAISY) available for R? Thanks Michal --- Odchozí zpráva neobsahuje viry. Zkontrolováno antivirovým systémem AVG (http://www.grisoft.cz). Verze: 6.0.543 / Virová báze: 337 - datum vydání: 21.11.2003 [[alternative HTML version deleted]]
2004 Jan 21
3
FW: DNAT and masq problem with kernel 2.4.23
Hi, after kernel upgrade to 2.4.23 my existing configuration of shorewal 1.4.8 will not start / it fail on DNAT and/or masq with message: "iptables: Invalid argument" / I founded some similar problems description - see links bellow, but there is no solution how to get work shorewall with DNAT and masq with 2.4.23 kernel. http://www.ussg.iu.edu/hypermail/linux/kernel/0312.0/0268.html
2004 Nov 17
1
bioassay, excel
It's not in R, but the system described in the pair of papers our group published in the Journal of Biomolecular Screening late last year: http://jbx.sagepub.com/cgi/content/refs/8/6/624 http://jbx.sagepub.com/cgi/content/refs/8/6/634 is based on S-PLUS and StatServer. It was also presented at the Insightful Tech. Conf. back in 2000. For Excel/R connection, look for the R-(D)COM server on
2005 Oct 31
2
nls() fit to Kahnemann/ Tversky function
Dear WizaRds, I would like to fit a curve to ten points with nls() for one unknown parameter gamma in the Kahnemann/ Tversky function, but somehow it won't work and I am unable to locate my mistake. p.kum <- seq(0.1,1, by=0.1) felt.prob.kum <- c(0.16, 0.23, 0.36, 0.49, 0.61, 0.71, 0.85, 0.89, 0.95, 1) ## how to find a function that fits these points nicely? plot(p.kum,
2010 Jan 24
1
Categorical data repeated on time analysis
Hi, I am trying to analyze a data set when nematodes were killed after a drug administration. We have counted the number of nematode died and the number of nematode survival at three time points. So, there are 100% died in some plot and could be found zero percent in another. Then, the data set have a lot of zeros. I have googled and found a lot of information. Moreover, my data isn't
2013 Dec 09
1
Plot mortality data and show trend
I have a mortality data over many years and I wish to plot the data and also add some smoother to clearly highlight the trend. How could I do that in R with base graphics or ggplot? I have the following sample data: require(lubridate) mdate<-seq(ymd('2000-01-01'),ymd('2010-12-31'), by = '1 day') death<- rnorm(4018, 80, 45) df<-cbind(mdate,death)
2007 Jun 05
0
New Package on Lancet Surveys of Iraq Mortality
Hello, I have placed a package on CRAN about two surveys of mortality in Iraq that were published in the Lancet. http://cran.at.r-project.org/src/contrib/Descriptions/lancet.iraqmortality.html > install.packages("lancet.iraqmortality") ... > library(lancet.iraqmortality) Loading required package: foreign > ?lancet.iraqmortality > vignette("mortality") This is
2008 Jul 03
2
Relative Mortality Risk second part
Hi everyone, We are looking for some data sets working with relative risk mortality. so, someone know where can I find the data.mgus dataset and the data.mgus? Using 1384 records from Minnesota. This data set are used in the : Robert A. Kyle, Terry M. Therneau, S. Vincent Rajkumar, Janice R. Offord, Dirk R. Larson, Matthew F. Plevak, and L. Joseph Melton III. A long-term study of prognosis in
2007 Jun 05
0
New Package on Lancet Surveys of Iraq Mortality
Hello, I have placed a package on CRAN about two surveys of mortality in Iraq that were published in the Lancet. http://cran.at.r-project.org/src/contrib/Descriptions/lancet.iraqmortality.html > install.packages("lancet.iraqmortality") ... > library(lancet.iraqmortality) Loading required package: foreign > ?lancet.iraqmortality > vignette("mortality") This is
2011 Jun 16
0
coxph: cumulative mortality hazard over time with associated confidence intervals
Dear R-users, I computed a simple coxph model and plotted survival over time with associated confidence intervals for 2 covariate levels (males and females). M1 <- coxph(survobject~sex, data=surv) M1 survsex <- survfit(survobject~sex,data=surv) summary(survsex) plot(survsex, conf.int=T, col=c("black","red"), lty = c(1,2), lwd=c(1,2), xlab="Time",
2003 Sep 09
1
tree mortality risk model using glm()
Dear all, I've used glm(family=binomial(link="logit")) several times, but now I think that a log link is more appropriate. I want to fit a model for probability of tree fall (TF)), with tree diameter (dbh) and soil moisure (soil) as predictors. A large number of trees have been checked every second year whether they stand up (0) or have fallen (1). I assume that the tree fall
2002 Oct 10
0
help ! calculating relative mortality using survival5
Hi All, I am relatively new to R (took a class 2 yrs ago ...), and am hoping someone can point me in the right direction for a problem I'd like to solve in R : I would like to calculate the relative mortality of a particular impairment, relative to the standard population. I.e. I'm trying to find S_relative(t) in the eqn below : S_impar(t) = S_standard(t) * S_relative(t) where
2009 Sep 06
1
Concentration ellipsoid
Hi all, Can anyone please guide me how to draw a Concentration ellipsoid for a bivariate system with a bivariate normal dist. having a VCV matrix : Sigma <- matrix(c(1,2,2,5), 2, 2) I would like to draw in using GGPLOT. Your help will be highly appreciated. Thanks, -- View this message in context: http://www.nabble.com/Concentration-ellipsoid-tp25315705p25315705.html Sent from the R help
2010 Aug 11
1
How to calculate the concentration
Hi, folks, ###### food=c('fruit','fruit','fruit','drink','drink','drink') type=c('apple','apple','orange','water','soda','soda') value=c(2,3,1,5,7,6) data=data.frame(food,type,value) share=c((2+3)/(2+3+1),5/6,1/6,5/(5+7+6),13/18,13/18)
2011 Jan 29
0
Using 'contour' to compare concentration profiles on the same plot
Hello, Using the data and code below I've been using R to compare output from two different solute transport codes, the red contours are from verified code while the blue contours come from some modified code I've been working on. The goal is for the contours to match, and although there is currently a slight discrepancy this would be expected. The plot shows a pulse of infiltrating
2012 May 06
2
how to do the concentration-time profiles in R?
Hi, Dear all, Could you please tell me how to select specified column in dataset and how to do the concentration-time profiles in R? Thank you! xiaoc [[alternative HTML version deleted]]
2005 Feb 05
2
Std Err on Concentration measures
Hi, I'm using the ineq package to calculate some concentration measures (Gini, Herfindal, ...) and I was wondering if there's around also a function to calculate standard error on these measures. If not, is anybody aware of where I can find a reference on this point? Thanks. -- ======================================================== Angelo Secchi PGP Key ID:EA280337
2010 Oct 19
3
plot CI and mortality rate
Dear R Users: I have the individual mortality rate and 95% CI of 100 hospitals, how to do the plot with the individual hospital in the Yaxis, and the mortality rate and 95% CI in the Xais and a overall mean as a reference line? Thanks and regards, Xin [[alternative HTML version deleted]]
2008 Nov 13
1
smbd mortality
I encountered a serious samba problem and want to publish details for public benefit.? SLES 10 server running Samba 3.0.28 as domain controller, file and cups print server, running uneventfully for 2 years suddenly drops all users, load rapidly grows to about 250 and becomes unresponsive. smbstatus reveals that every user has about 10 instances of smbd instead of one. CPU (dual processsor, dual
2010 Oct 15
2
Time vs Concentration Graphs by ID
Hello-- I have a data for small population who took 1 drug at 3 different doses. I have the actual drug concentrations as well as predicted concentrations by my model. This is what I'm looking for: - Time vs Concentration by ID (individual plots), with each subject occupying 1 plot -- there is to be 9 plots per page (3x3) - Observed drug concentration is made up of points, and predicted drug