这可能更像是一个统计问题，而不是编程问题。我只是想确保我首先获得正确的编程。
我有一个大的计数数据集（108个站点，31个物种= 3348个观测值），但其中很多都是0个计数，因为每个站点都没有物种。我已经向我建议了日志转换，但其他人也说过你不应该记录转换计数数据。这是我的前8个物种的数据（也包含非常丰富的物种，计数最高）：
example.abund <- c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,
0,0,1,0,8,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,2,0,3,1,0,0,0,0,0,0,0,0,0,
2,0,1,1,0,0,0,0,1,1,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,
0,1,0,0,0,28,1,0,1,0,0,1,0,2,0,0,2,0,0,0,1,0,0,0,1,0,0,0,2,0,0,1,0,0,
0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,2,0,1,0,0,8,7,7,1,1,13,0,8,0,3,0,1,1,
1,4,4,0,1,0,1,0,0,0,0,6,5,2,0,2,58,4,2,47,4,0,0,0,2,59,2,0,0,6,1,36,28,2,
1,1,0,6,0,0,2,5,0,0,0,0,87,7,0,1,1,1,0,0,1,1,0,6,11,0,0,0,3,0,4,0,7,2,
0,5,0,4,1,0,1,12,0,2,0,9,0,1,0,0,0,24,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,3,1,0,1,0,1,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,1,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,15,0,2,
81,0,1,32,26,13,2,61,0,66,2,2,0,17,43,43,0,25,19,2,25,26,91,61,0,13,0,62,186,1,4,22,1,50,3,67,86,11,56,26,74,0,6,8,7,0152,8,14,1,97,1,0,12,11,3,1,1,112,2,35,36,5,61,26,211,15,8,173,17,97,22,18,88,11,1,66,15,3,3,3,2,0,1,0,41,9,14,1,0,38,0,0,51,27,11,38,31,1,0,221,68,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,29,0,0,0,0,
0,82,12,0,0,3,0,9,0,0,164,0,0,0,0,1,0,15,0,0,0,6,56,0,0,0,6,0,0,1,0,5,5,8,
0,4,0,0,6,0,0,2,0,0,3,0,0,0,0,683,0,0,0,0,3,149,252,11,13,195,19,0,59,0,0,1,28,0,
0,0,0,0,0,0,0,0,0,0,31,55,85,0,142,0,44,52,0,0192,0,45,0,0,0,0,0,0,11,2,0,0,6,
0,0,0,0,0,0,0,0,0,0,0,0,0,19,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0)
我需要制作一个混合模型来拟合数据，但首先我要弄清楚要使用的最合适的分布。我正在按照blog中的步骤进行操作。但是所有的红线（意味着代表＆＃39;完美契合＆＃39;对于那个分布）在整个情节中都是0。
我的问题是：有一个正确的编码，我的数据中有这么多0，完美契合是0？或者我编码的方式有问题吗？
代码示例：
#so that the families without 0s can recognise data
example.abund.1 <- example.abund + 1
plot(hist(example.abund))
qqp(example.abund, "norm")
qqp(example.abund.1, "lnorm") #lognorm
#have to generate estimates of parameters:
nbinom <- fitdistr(example.abund.1, "Negative Binomial")
qqp(example.abund.1, "nbinom", size = nbinom$estimate[[1]], mu = nbinom$estimate[[2]])
poisson <- fitdistr(example.abund.1, "Poisson")
qqp(example.abund.1, "pois", poisson$estimate)
gamma <- fitdistr(example.abund.1, "gamma")
qqp(example.abund.1, "gamma", shape = gamma$estimate[[1]], rate = gamma$estimate[[2]])