| ²é¿´: 1206 | »Ø¸´: 4 | |||
| ±¾Ìû²úÉú 1 ¸ö ³ÌÐòÇ¿Ìû £¬µã»÷ÕâÀï½øÐв鿴 | |||
ian_zhangtyľ³æ (ÖøÃûдÊÖ)
|
[ÇóÖú]
ÇëÎÊ£¬ÎÒÏëÓÃfortran¼ÆËãͳ¼ÆÖеÄpÖµÒÔ¼°95%ÐŶȿռä
|
||
| ÇëÎÊÓÐûÓÐÏֳɵijÌÐò£¬Ð»Ð» |
» ²ÂÄãϲ»¶
Çóµ÷¼Á
ÒѾÓÐ23È˻ظ´
301Çóµ÷¼Á
ÒѾÓÐ15È˻ظ´
304Çóµ÷¼Á£¨085602£¬¹ýËļ¶£¬Ò»Ö¾Ô¸985£©
ÒѾÓÐ17È˻ظ´
302·ÖÇóµ÷¼Á Ò»Ö¾Ô¸°²»Õ´óѧ085601
ÒѾÓÐ12È˻ظ´
288»·¾³×¨Ë¶,Çóµ÷²ÄÁÏ·½Ïò
ÒѾÓÐ23È˻ظ´
»·¾³×¨Ë¶µ÷¼Á
ÒѾÓÐ6È˻ظ´
22408 µ÷¼Á²ÄÁÏ
ÒѾÓÐ6È˻ظ´
285Çóµ÷¼Á
ÒѾÓÐ12È˻ظ´
Çóµ÷¼Á
ÒѾÓÐ6È˻ظ´
085600²ÄÁÏÓ뻯¹¤301·ÖÇóµ÷¼ÁԺУ
ÒѾÓÐ19È˻ظ´
» ±¾Ö÷ÌâÏà¹Ø¼ÛÖµÌùÍÆ¼ö£¬¶ÔÄúͬÑùÓаïÖú:
ÇëÎÊÕâÖÖ¡°Õ³ÊÖ¡±Íæ¾ßµÄ¾ßÌå²ÄÁÏÊÇʲô£¿ÈçºÎÖÆ±¸³É´ó¿éµÄÈí½ºµæ£¿
ÒѾÓÐ10È˻ظ´
»¯¹¤¼ÆËã»ù´¡
ÒѾÓÐ468È˻ظ´
ÓÃMSÖеÄForcite¼ÆËã±ù£¬½á¹û·¢ÏÖζȲ¨¶¯Òì³£µÄ´ó£¬¸Ð¾õÏñ×öÖÜÆÚÐÔµÄÕðµ´Ë¥¼õ
ÒѾÓÐ6È˻ظ´
ÇëÎʶÔÓÚÉú²úÖÆ¼ÁµÄÔÁÏÒ©²úµØ±ä¸üµÄÉêÇ룬Æä±ä¸ü˵Ã÷¸ÃÔõôд
ÒѾÓÐ8È˻ظ´
¡¾ÇóÖú¡¿FortranÓïÑÔ¸³ÖµÎÊÌ⣿
ÒѾÓÐ3È˻ظ´
¡¾ÇóÖú¡¿ArcgisÓëGS+ÔÚµØÍ³¼Æ·ÖÎöÖеÄÇø±ð
ÒѾÓÐ39È˻ظ´
snoopyzhao
ÖÁ×ðľ³æ (Ö°Òµ×÷¼Ò)
- ³ÌÐòÇ¿Ìû: 16
- Ó¦Öú: 157 (¸ßÖÐÉú)
- ¹ó±ö: 0.02
- ½ð±Ò: 18844.7
- ºì»¨: 29
- Ìû×Ó: 3803
- ÔÚÏß: 1422.4Сʱ
- ³æºÅ: 183750
- ×¢²á: 2006-02-13
- רҵ: ÎÛȾÉú̬»¯Ñ§
¡¾´ð°¸¡¿Ó¦Öú»ØÌû
¡ï
jjdg(½ð±Ò+1): ¸ÐлÄúµÄ¹Ø×¢ 2011-08-06 01:01:29
ian_zhangty(½ð±Ò+1): 2011-08-06 09:10:51
jjdg(½ð±Ò+1): ¸ÐлÄúµÄ¹Ø×¢ 2011-08-06 01:01:29
ian_zhangty(½ð±Ò+1): 2011-08-06 09:10:51
|
¼ÆËã p Öµ¿É²»ÊǼòµ¥µÄÊÂÇ飬ºÇºÇ¡¡ È¥ statlib ºÍ netlib ÉÏÕÒÕÒ Æäʵ£¬ÕâÖÖÊÂÇ飬ÕÒ¸öͳ¼ÆÈí¼þ×öÁ˾ͽáÁË¡¡ |
2Â¥2011-08-05 23:00:50
ian_zhangty
ľ³æ (ÖøÃûдÊÖ)
- ³ÌÐòÇ¿Ìû: 1
- Ó¦Öú: 1 (Ó×¶ùÔ°)
- ½ð±Ò: 4348.9
- É¢½ð: 68
- ºì»¨: 3
- Ìû×Ó: 1046
- ÔÚÏß: 88Сʱ
- ³æºÅ: 296621
- ×¢²á: 2006-11-12
- רҵ: Ö²ÎïѧÑо¿µÄм¼Êõ¡¢Ð·½
¡ï
dubo(½ð±Ò+1): »¶Ó³£À´³ÌÐòÓïÑÔ°æÌÖÂÛ 2011-08-21 14:00:44
dubo(½ð±Ò+1): »¶Ó³£À´³ÌÐòÓïÑÔ°æÌÖÂÛ 2011-08-21 14:00:44
|
ÎÒÒ²ÖªµÀµÄ¡£µ«ÊÇÓÉÓÚÎÒµÄÕû¸ö³ÌÐò¶¼ÊÇÓÃfortran±àµÄ£¬Èç¹ûÓÐÖ±½ÓµÄ³ÌÐò¾Í·Ç³£Ê¡ÊÂÁË |
3Â¥2011-08-06 09:10:28
snoopyzhao
ÖÁ×ðľ³æ (Ö°Òµ×÷¼Ò)
- ³ÌÐòÇ¿Ìû: 16
- Ó¦Öú: 157 (¸ßÖÐÉú)
- ¹ó±ö: 0.02
- ½ð±Ò: 18844.7
- ºì»¨: 29
- Ìû×Ó: 3803
- ÔÚÏß: 1422.4Сʱ
- ³æºÅ: 183750
- ×¢²á: 2006-02-13
- רҵ: ÎÛȾÉú̬»¯Ñ§
¡¾´ð°¸¡¿Ó¦Öú»ØÌû
ian_zhangty(½ð±Ò+4): 2011-08-06 10:36:46
| ÄǾÍÉÏÎÒ˵µÄÄÇÁ½¸öÉÏÃæÕÒÕÒ£¬Ò²¿ÉÒÔÈ¥¿´¿´ R (http://www.r-project.org) »òÕß dataplot (http://www.itl.nist.gov/div898/software/dataplot/) µÄÔ´ÂëÖйØÓÚ p µÄ¼ÆËã¡£ºóÕßÖ÷ÒªÊÇ fortran ±àµÄ£¬Ç°ÕßÓÐÒ»²¿·ÖÊÇ C£¬ÓÐÒ»²¿·ÖÊÇ fortran£¬»¹Óд󲿷ÖÊÇ R.... |
4Â¥2011-08-06 09:32:22
ian_zhangty
ľ³æ (ÖøÃûдÊÖ)
- ³ÌÐòÇ¿Ìû: 1
- Ó¦Öú: 1 (Ó×¶ùÔ°)
- ½ð±Ò: 4348.9
- É¢½ð: 68
- ºì»¨: 3
- Ìû×Ó: 1046
- ÔÚÏß: 88Сʱ
- ³æºÅ: 296621
- ×¢²á: 2006-11-12
- רҵ: Ö²ÎïѧÑо¿µÄм¼Êõ¡¢Ð·½
¡¾´ð°¸¡¿Ó¦Öú»ØÌû
¡ï ¡ï ¡ï ¡ï ¡ï ¡ï
jjdg(½ð±Ò+1): ¸Ðл·ÖÏíÄãµÄ½â¾ö·½°¸ 2011-08-06 15:28:45
dubo(½ð±Ò+5, ³ÌÐòÇ¿Ìû+1): good 2011-08-21 14:01:09
jjdg(½ð±Ò+1): ¸Ðл·ÖÏíÄãµÄ½â¾ö·½°¸ 2011-08-06 15:28:45
dubo(½ð±Ò+5, ³ÌÐòÇ¿Ìû+1): good 2011-08-21 14:01:09
|
ÒѾ½â¾ö£¬·½°¸ÈçÏ£¬Ð»Ð» FUNCTION betai(a,b,x) REAL betai,a,b,x !USES betacf,gammln REAL bt,betacf,gammln if(x<0..or.x>1.) pause 'bad argument x in betai' if(x==0..or.x==1.) then bt=0. else bt=exp(gammln(a+b)-gammln(a)-gammln(b)+a*log(x)& +b*log(1.-x)) endif if(x<(a+1.)/(a+b+2.)) then betai=bt*betacf(a,b,x)/a return else betai=1.-bt*betacf(b,a,1.-x)/b return endif END FUNCTION betai FUNCTION betacf(a,b,x) INTEGER maxit REAL betacf,a,b,x,EPS,fpmin PARAMETER (maxit=100,EPS=3.e-7,fpmin=1.e-30) INTEGER m,m2 REAL aa,c,d,del,h,qab,qam,qap qab=a+b qap=a+1. qam=a-1. c=1. d=1.-qab*x/qap if(abs(d) h=d do m=1,maxit m2=2*m aa=m*(b-m)*x/((qam+m2)*(a+m2)) d=1.+aa*d if(abs(d) if(abs(c) h=h*d*c aa=-(a+m)*(qab+m)*x/((a+m2)*(qap+m2)) d=1.+aa*d if(abs(d) if(abs(c) del=d*c h=h*del if(abs(del-1.) return end if end do pause 'a or b too big, or maxit too small in betacf' END FUNCTION betacf FUNCTION gammln(xx) REAL gammln,xx INTEGER j DOUBLE PRECISION ser,stp,tmp,x,y,cof(6) SAVE cof,stp DATA cof,stp/76.18009172947146d0,-86.50532032941677d0,& 24.01409824083091d0,-1.231739572450155d0,& .1208650973866179d-2,-.5395239384953d-5,& 2.5066282746310005d0/ x=xx y=x tmp=x+5.5d0 tmp=(x+0.5d0)*log(tmp)-tmp ser=1.000000000190015d0 do j=1,6 y=y+1.d0 ser=ser+cof(j)/y end do gammln=tmp+log(stp*ser/x) END FUNCTION gammln program pvalue REAL df, r, t, prob df=17-2 ! 17 is sample size r=0.188446645 ! pearson coefficient t=(abs(r)*sqrt(df))/sqrt(1-r**2) prob=betai(0.5*df,0.5,df/(df+t**2)) write (*,*) prob end program pvalue |
5Â¥2011-08-06 10:41:54














»Ø¸´´ËÂ¥