search for: power2

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2012 Feb 10
3
problem subsetting data frame with variable instead of constant
...s a look at my data frame called 'ea.cad.pwr': *>ea.ca.pwr[1:5,] MAF OR POWER 1 0.02 0.01 0.9999 2 0.02 0.02 0.9998 3 0.02 0.03 0.9997 4 0.02 0.04 0.9995 5 0.02 0.05 0.9993* Here's my subset lines which finds no rows: *power1 = subset(ea.cad.pwr, MAF == maf1 & OR == odds) power2 = subset(ea.cad.pwr, MAF == maf2 & OR == odds) * Now when maf1 = 0.2 and odds = 1.2 it finds nothing. I know for a fact that there's a row with these values: *> ea.cad.pwr[1430:1432,] MAF OR POWER 1430 0.2 0.58 0.9996 1431 0.2 1.20 0.3092 1432 0.2 1.22 0.3914* I have code worki...
2011 May 04
1
hurdle, simulated power
...) } y<-y1*y2 data.frame(trt=trt,y=y) } #alpha0, alpha1 is the parameter for zero part #beta0,beta1 is the parameter for negative binomial #theta is dispersion parameter for negative binomial, infinity correspond to poisson # #example power analysis #return three power, power1 for zero part, power2 for negative binomial part #power3 for joint test,significance level can be set, default is 0.05 #M is simulation time #require pscl package #library(pscl) mypower <- function(n, beta0, beta1, alpha0, alpha1, theta, siglevel=0.05, M=1000){ myfun <- function(n,beta0,beta1,alpha0,alpha1,thet...
2006 May 23
1
no USB/HID UPS found?
...be started anymore: backer:~# /etc/init.d/nut stop Stopping Network UPS Tools: (upsdrvctl failed) upsd upsmon. * In the old configuration I was using the hidups driver, now I tried newhidups, as well - none of them is actually able to find the UPSes connected: backer:~# /lib/nut/newhidups -a power2 Network UPS Tools: New USB/HID UPS driver 0.28 (2.0.3) No matching USB/HID UPS found backer:~# /lib/nut/newhidups -a power2 Network UPS Tools: New USB/HID UPS driver 0.28 (2.0.3) No matching USB/HID UPS found * trying to do some debugging (as I read earlier on that list regarding a problem...
2007 Apr 18
1
Conditional power, predictive power
is there no package/function in R to calculate the conditional power or the bayesian predictive power for trials with binary endpoints? Thanks -- View this message in context: http://www.nabble.com/Conditional-power%2C-predictive-power-tf3603396.html#a10066991 Sent from the R help mailing list archive at Nabble.com.
2007 Oct 19
0
calculating power of log rank test
...1 if(d5>1.96)count5=count5+1 if(d6>1.96)count6=count6+1 if(d7>1.96)count7=count7+1 if(d8>1.96)count8=count8+1 if(d9>1.96)count9=count9+1 number=number+1 s=s-1 } power1=count1/number power2=count2/number power3=count3/number power4=count4/number power5=count5/number power6=count6/number power7=count7/number power8=count8/number power9=count9/number print(power1) print(power2) print(power3)...