天目山野外生物学实习小论文 60.9965764.742929 234 0.858217 3565 110.9889118.540575 451 0.899859 180.97278913.39671 2222222222222 0.897841 90.9919427.278741 454 0.880431 -18 50.973626-13.1883 346 0.887431 170.96722614.70938 0.916993 888999 80.9932316.670108 210.95586417.08616 450 0.895752 -22 280.90506625.16786 452 0.905242 20 250.94033919.89145 341 0.899827 20 240.898247-26.0715 230 0.896517 21 170.938405-20.214 0.817092 -100.979589-11.5961 0.824535 0.923-22.6313 2 231 0.891627 100.984808 2 0.994647 130.97437 0.996616 2230.5.22 0.741319 0.824431 60.991105-7.64769 2 233 0.818206 24 60.988075-8.85743 2 232 0.819692 24 90.982918-10.6054 0.82149 24 30.999012.54947 0.834098 -40.991186-7.61283 50.9977933.807519 0.827109 110.968966-14.3115 232 0.816997 170.97807612.01965 129 0.835242 -20.949092-18.3607 0.806897 25 100.945558-18.9931 00.985148-9.88715 50.98106-11.169 22222222222222 341 0.827084 236 0.835263 27 130.965337-15.1297 38 0.800764 28 30.998097-3.53549 0.903835 -20.984843-9.98827 0.909276 170.931306-21.360 340 0.844194 150.955722-17.1138 460 0.720315 90.96183315.88079 237 0.800012 -120.976259-12.5098 345 0.826504 110.96066-16.1246 2 0.7677 160.96359415.50787 0.702043 22 ANOVA方差分析 首先以平均叶倾角为因变量,对于叶片高度和下雨与否进行双因素 ANOVA分析。以确定之后的相6 天目山野外生物学实习小论文 2014 3 6 0.996576 4.742929 2 2 34 0.858217 17 5 11 0.988911 8.540575 2 4 51 0.899859 18 6 18 0.972789 13.39671 2 3 42 0.897841 18 5 9 0.991942 7.278741 2 4 54 0.880431 18 -18 5 0.973626 -13.1883 2 3 46 0.887431 19 12 17 0.967226 14.70938 2 4 50 0.916993 19 5 8 0.993231 6.670108 2 2 31 0.907789 19 -12 21 0.955864 17.08616 2 4 50 0.895752 20 -22 28 0.905066 25.16786 2 4 52 0.905242 20 13 25 0.940339 19.89145 2 3 41 0.899827 20 -28 -24 0.898247 -26.0715 2 2 30 0.896517 21 -23 -17 0.938405 -20.2146 2 2 31 0.817092 21 -13 -10 0.979589 -11.5961 2 2 33 0.824535 21 -25 -20 0.923 -22.6313 2 2 31 0.891627 22 -10 10 0.984808 10 2 2 31 0.994647 22 -13 13 0.97437 13 2 1 27 0.996616 22 -13 -3 0.9865 -9.42535 2 1 27 0.753615 23 -27 -18 0.921032 -22.9226 2 1 22 0.741319 23 -18 -4 0.97431 -13.0152 2 1 21 0.824431 23 -9 6 0.991105 -7.64769 2 2 33 0.818206 24 -11 6 0.988075 -8.85743 2 2 32 0.819692 24 -12 -9 0.982918 -10.6054 2 2 31 0.82149 24 -2 3 0.99901 2.549479 2 2 37 0.834098 25 -10 -4 0.991186 -7.61283 2 1 29 0.801545 25 -2 5 0.997793 3.807519 2 2 32 0.827109 25 -17 -11 0.968966 -14.3115 2 2 32 0.816997 26 1 17 0.978076 12.01965 2 1 29 0.835242 26 -26 -2 0.949092 -18.3607 2 2 30 0.806897 26 -25 10 0.945558 -18.9931 2 2 34 0.797111 27 -14 0 0.985148 -9.88715 2 3 41 0.827084 27 -15 -5 0.98106 -11.169 2 2 36 0.835263 27 -17 -13 0.965337 -15.1297 2 2 38 0.800764 28 -4 3 0.998097 -3.53549 2 2 37 0.903835 28 -14 -2 0.984843 -9.98827 2 3 41 0.909276 28 -25 -17 0.931306 -21.3606 2 3 40 0.844194 29 -19 -15 0.955722 -17.1138 2 4 60 0.720315 29 -12 19 0.961833 15.88079 2 2 37 0.800012 29 -13 -12 0.976259 -12.5098 2 3 45 0.826504 30 -20 11 0.96066 -16.1246 2 2 34 0.7677 30 -15 16 0.963594 15.50787 2 2 35 0.702043 30 2.2 ANOVA方差分析 首先以平均叶倾角为因变量，对于叶片高度和下雨与否进行双因素 ANOVA 分析。以确定之后的相