//¤³¤Î¥Ú¡¼¥¸¤¬É½¼¨¤µ¤ì¤ëÊý¤Ï¡¢URL¤«¤é¡Öaction=SOURCE&¡×¤òºï½ü¤·¤Æ¤ß¤Æ¤¯¤À¤µ¤¤ [[£ÒÈ÷˺Ͽ - µ­»ö°ìÍ÷]] !!!¶õ´ÖÅý·× ­£ - ¡Úgstat¡ÛÉáÊ×·¿¥¯¥ê¥®¥ó¥° *Åê¹Æ¼Ô¡§ ¤ß¤å *¥«¥Æ¥´¥ê¡§ ¤Ê¤· *Í¥ÀèÅÙ¡§ ÉáÄÌ *¾õÂÖ¡§ ´°Î» *Æü»þ¡§ 2009ǯ06·î30Æü 13»þ08ʬ33Éà //{{bugstate}} !!ÆâÍÆ *¶õ´ÖÅý·× ­£ *ÉáÊ×·¿¥¯¥ê¥®¥ó¥° **¤³¤¦¤¤¤¦¤Î¤òÉáÊ×·¿¤È¤¤¤¦¤Î¤«¤É¤¦¤Ê¤Î¤«¡¦¡¦¡¦ !!ÉáÊ×·¿¥¯¥ê¥®¥ó¥° *¤Þ¤¢¡¢¥»¥ß¥Ð¥ê¥ª¥°¥é¥à¤òµá¤á¤Æ¤¤¤ë¤À¤±¤Ê¤ó¤À¤¬ x <- variogram(object=log(zinc)~elev+dist, locations=~x+y, data=meuse, cutoff=3000) plot(x) {{ref_image ss_3_1.png}} !!²óµ¢¤·¤¿»Äº¹¤Ç¡¢Ä̾﷿¥¯¥ê¥®¥ó¥° *¤Þ¤¢¡¢¥»¥ß¥Ð¥ê¥ª¥°¥é¥à¤òµá¤á¤Æ¤¤¤ë¤À¤±¤Ê¤ó¤À¤¬ res_lm <- lm(log(zinc)~elev+dist, data=meuse) meuse2 <- cbind(meuse, resid=residuals(res_lm)) x2 <- variogram(object=resid~1, locations=~x+y, data=meuse2, cutoff=3000) plot(x2) {{ref_image ss_3_2.png}} *ÉáÊ×·¿¥¯¥ê¥®¥ó¥°¤È¤¤¤Ã¤·¤ç¡¥ *ÉáÄ̤β󵢤ò¹Ô¤Ã¤¿¸å¤Î»Äº¹¤ËÂФ·¤Æ¡¢Ä̾﷿¥¯¥ê¥®¥ó¥°¤òŬÍѤ·¤Æ¤¤¤ë¡¥ **ÉáÊ×·¿¥¯¥ê¥®¥ó¥°¤Ï¡¢¶õ´Ö½¾Â°À­¤ò¹Íθ¤·¤¿¶¦Ê¬»¶¹ÔÎó¤ò¹Í¤¨¤Æ²óµ¢·¸¿ô¤ò»»½Ð¤·¤Æ¤¤¤ë¤ï¤±¤Ç¤Ï¤Ê¤¤¡¥ !!NEXT *[[BugTrack-£ÒÈ÷˺Ͽ/41]] ¡§ ¶õ´ÖÅý·× ­¤ - ¡Úgstat¡Û¥Ð¥ê¥ª¥°¥é¥à¤«¤éÆÃÄê¤Î°ÌÃ֤ˤª¤±¤ëÃͤò¿äÄꤹ¤ë