search for: gestation

...07427740 -0.3370815 SlowSleep -0.39363729 -0.38679474 1.0000000 0.51824287 0.9676730 ParaSleep -0.07488845 -0.07427740 0.5182429 1.00000000 0.7171864 TotalSleep -0.34283732 -0.33708151 0.9676730 0.71718643 1.0000000 Lifespan 0.46982146 0.62938940 -0.3722345 -0.26834006 -0.3824462 Gestation 0.71434413 0.73353206 -0.6061048 -0.40893177 -0.6144743 PredIndex 0.09588524 -0.01538017 -0.3526558 -0.39795310 -0.4047155 ExposeIndex 0.40563880 0.32318968 -0.5802789 -0.50363338 -0.6213578 DangerIndex 0.25932512 0.15093686 -0.5346247 -0.57194862 -0.6043029 logbrw 0.47461094 0.53...

Hi, As part of the analysis of a longitudinal study, I have a list, called wg, on R 1.3.1 for windows created as follows - wg <- by(xx, xx$mrn, function(xx) lm(xx$maternal.wt ~ xx$gestation, data=xx)) xx is a data.frame, and so wg contains the results of 293 linear regressions, as lm objects. Now what I want is to extract the 293 intercepts and regression coefficients as a vector, and do things with them - like examine their distributions. >wg[[1]] gives Call: lm(formula = x...

...1 ORRACEM Hispanic Origin and Race of Morther Reco 9 MRACE Race of Mother A LIVORD9 Live Birth Order Recode I GESTESTMClinical Estimation of Gestation Used Fl Y GESTAT Gestation - Detail in Weeks CSEX Sex DBIRWT Birth Weight - Detail in Grams CLINGESTClinical Estimate of Gestation ANEMIA Anemia...

...Sent: Friday, January 18, 2002 5:33 AM To: r-help at stat.math.ethz.ch Subject: [R]: z-scores for different factor levels Hi there. I am trying to generate z-scores for a variable according to it's factor level, leaving this result in the original dataframe. ie. standardised birth weight for gestational age in weeks. BWT is birthweight GEST is gestational age in weeks (equivalent to the factor level) I can generate the factor level mean & SD using tapply tapply(BWT,GEST,mean) etc. but this creates a new array of means & SDs. - Can anyone suggest how I can slot these means & SDs by...

Well, as Andrew shouted at me again this weekend it's getting to be about that time.... :-) :-). Yep, we're thinking we should do an official 2.2 Samba release early next week, so if you have anything you can't live with, now would be a good time to tell us.... :-). It's been gestating longer than an elephant, so it's really time to let it out into the world and do its own

...of the graphics device. My graphics are correct horizontally, but are confined to about one-fifth of the vertical extent of the graphics device. As a result they look odd, and are almost usless for analysis. They do seem, however, to be the correct graphics (In this case maternal weight against gestational age for two groups of women). I have read the manual for the lattice commands, and the nlme command, and indeed for the plain plot command, but failed to get any ideas. Roughly, I need to tell lattice to use the full vertical extent of the display device. If it helps, I can e-mail the offendi...

>From owner-r-help at stat.math.ethz.ch Wed Jan 9 10:08:44 2002 > >Does anyone know how to access/list the value labels stored in a SPSS .sav >file? >At the moment I can read in variables using read.spss() (foreign package), >but have to power up SPSS to check value labels. > >Stuart There may be a solution to this in R, and I would love to hear it, but I was just faced

...this: library(lmsqreg) centiles <- c(0.004,0.02,0.09,0.25,0.5,0.75,0.91,0.98,0.996) lms.fit <- lmsqreg.fit(boys.o$BIRTH_WEIGHT,boys.0$GEST_AGE,edf=c(3,5,3),pvec=centiles) plot(lms.fit) points(boys.0$GEST_AGE,boys.0$BIRTH_WEIGHT) I also plotted the median and the coefficient of variation by gestation age, but then I'm struggling to find the correct command to plot the Box-Cox power by gestation age. (Does it makes sense to compute all centiles in one go?) Thanks Joanne P.S.: I found a couple of recent articles that refer to the GAMLSS package, but that looks even more complicated to me....

...Sent: Friday, January 18, 2002 5:33 AM To: r-help at stat.math.ethz.ch Subject: [R]: z-scores for different factor levels Hi there. I am trying to generate z-scores for a variable according to it's factor level, leaving this result in the original dataframe. ie. standardised birth weight for gestational age in weeks. BWT is birthweight GEST is gestational age in weeks (equivalent to the factor level) I can generate the factor level mean & SD using tapply tapply(BWT,GEST,mean) etc. but this creates a new array of means & SDs. - Can anyone suggest how I can slot these means & SDs by...

...ns: ? (fitmodel <- lmer(modelformula,data,family=binomial(link=logit),nAGQ=1)) where modelformula is set up in another part of the program.? Locations are treated as random and the model is random intercept only.? The program is set?to run 1000 simulations. ? I have temperature, five levels of gestational age (GA), birth wieght (BW) and?four? other categorical pedictors, all binary.? I scaled everything so that all my slopes are in the range of -5.2 to 1.6 and?variances from .01 to .08.? I have a couple of categories of GA that have small probabilities (<.10).? I'm using a structured samp...

There is currently a bug in the arima function. Namely, for arima models with differencing or seasonal differencing, the innovation variance estimator uses the wrong denominator whenever xreg is non-null. This is the case, for example, when fitting an ARIMA(p,1,q) model with a drift term (common in financial applications). I reported the bug (and a fix) at

The bug repository is like an elephant: It doesn't forget, but the gestation period is long. In the present case, it is clear that something is not right, but someone needs to have sufficient recall and insight to check that your proposed fix is not unfixing a deliberate change. We should get to it eventually. (For some value of "we" not including "me"....

After an extremely long gestation, a new version of the coxme package is now available on CRAN. This function fits very general mixed-effects Cox models using an lmer-like syntax. For instance here is a model that fits a random treatment effect, using data from a multi-study collaboration. fit <- coxme(Surv(pg.time, pg.sta...

Dear All, We are happy to announce, after a long gestation, the release of the new version of FRAILTYPACK (version 2.2-9.5) which is now available from CRAN. The package fit general frailty models using penalized likelihood estimation, for clustered or recurrent events. For instance : -- ADDITIVE FRAILTY MODELS for proportional hazards models with tw...

After an extremely long gestation, a new version of the coxme package is now available on CRAN. This function fits very general mixed-effects Cox models using an lmer-like syntax. For instance here is a model that fits a random treatment effect, using data from a multi-study collaboration. fit <- coxme(Surv(pg.time, pg.sta...

Dear All, We are happy to announce, after a long gestation, the release of the new version of FRAILTYPACK (version 2.2-9.5) which is now available from CRAN. The package fit general frailty models using penalized likelihood estimation, for clustered or recurrent events. For instance : -- ADDITIVE FRAILTY MODELS for proportional hazards models with tw...

Hi, I am very confused with constructing the wilcox.test in R. I have two populations 'original' and 'test'. I want to know if the 'test' is generally 'lower' than original. I use alpha of 0.05. So do I write the function as wilcox.test(original, test, alternative="l")? or wlcox.test(original, test, alternative = "g")? or wilcox.test(test,

Does R, or will R, be integrating the changes to the Chambers/Lucent S language under their version 5.0? If not already, then when? John Thaden Little Rock, Arkansas, USA -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe"

...it preserves the value of "init0"). -- Patrick Perry Assistant Professor Stern School of Business New York University On Tue, Apr 21, 2015 at 7:34 AM, peter dalgaard <pdalgd at gmail.com> wrote: > The bug repository is like an elephant: It doesn't forget, but the > gestation period is long. > > In the present case, it is clear that something is not right, but someone > needs to have sufficient recall and insight to check that your proposed fix > is not unfixing a deliberate change. We should get to it eventually. (For > some value of "we" not i...

...;red", "black"), c("spots", "lynx"), pch = 21) ### end Shouldn't I try to publish this in Nature or Science with a title that goes "Solar activity increase libido in lynx populations" ? Note the nice shift between the two curves corresponding to the gestation time! A brief look at the whole dataset demonstates that this is definitively wrong: ### begin spots <- window(sunspots, freq = 1, start = 1821, end = 1934) ratio <- max(lynx)/max(spots) plot(lynx, main = "Sun spots intensity\nand lynx population density", ylab = "&quot...