search for: groupsiz

...uggle coming from the data, not the actual analysis) I have decided to prefer contingency tables. I have my data such as: response: hunting.prev=c("success","fail","success","success","success","fail",...) one of 21 surveyed variables: groupsize=c("small","large","small","small","small","large"...) ... now... It is intuitive to me that I will have to split up each variable by its level(s), thus creating 2 new variables for groupsize (as an example) holding the counts of small...

...ble showing the different pseudo-F values; (2) the formula used by PRIMER to calculate pseudo-F values that we think is the same being used in R, but need confirmation; and (3) the R code used for this analysis. (1) Table Model Social Variables PRIMER pseudo-F R pseudo-F SEQUENTIAL TESTS GroupSize 1.1904 1.5528 Board 1.5079 1.8872 MtgStyle 1.1326 1.4007 DmStyle 1.0971 1.3437 DifView 1.4892 1.7299 VolAuton 2.2923 2.2925 (2) pseudo-F formula We know that PRIMER uses the following formula to calculate the pseudo-F for a sequential test of significance...

...rame(cbind(snr=c(1,2,3,4,5,6,7,8,9,10),k1=c(1,1,4,2,3,2,2,5,2,2),k2=c(1,2,3,2,1,2,1,3,3,2),result=c(4,3,5,4,2,6,4,4,2,3))) now I want to recode k1 and k2 so that I have half of the values recoded 0 and half recoded 1, split around the median point. The median of k1 is 2 which would lead to unequal groupsize if used 2 as cutoff, so all values k1=2 should be recoded 1 or 0 randomly until both categories have the same length. something like df.rec<-as.data.frame(cbind(snr=c(1,2,3,4,5,6,7,8,9,10),k1=c(0,0,1,0,1,1,0,1,0,1),k2=c(0,1,1,0,0,1,0,1,1,0),result=c(4,3,5,4,2,6,4,4,2,3))) Can anyone help? T...

...rame(cbind(snr=c(1,2,3,4,5,6,7,8,9,10),k1=c(1,1,4,2,3,2,2,5,2,2),k2=c(1,2,3,2,1,2,1,3,3,2),result=c(4,3,5,4,2,6,4,4,2,3))) now I want to recode k1 and k2 so that I have half of the values recoded 0 and half recoded 1, split around the median point. The median of k1 is 2 which would lead to unequal groupsize if used 2 as cutoff, so all values k1=2 should be recoded 1 or 0 randomly until both categories have the same length. something like df.rec<-as.data.frame(cbind(snr=c(1,2,3,4,5,6,7,8,9,10),k1=c(0,0,1,0,1,1,0,1,0,1),k2=c(0,1,1,0,0,1,0,1,1,0),result=c(4,3,5,4,2,6,4,4,2,3))) Can anyone help? T...

Say I have the following program and dwarf line number table. Program: kernel void nbt03( global uint *ip ) { size_t groupSize = get_local_size(0); for (int i=0; i < 256; ++i) { *ip += groupSize; } } Line Number Statements: Extended opcode 2: set Address to 0x38 Special opcode 6: advance Address by 0 to 0x38 and Line by 1 to 2 Set column to 40 Extended opcode 2: set Address to 0x3e Special op...

Hi, my x-axis contains labels that consist of two lines (the actual label and below information about groupsize). Unfortunately, there is too little spacing between labels and tickmarks in this situation. Is there a parameter to tune spacing between axis and labels? Thanks, Chris