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我正在尝试使用它的 plot 函数从 fitdistrplus 包中绘制拟合曲线到截断分布的曲线。

library(fitdistrplus)
library(truncdist)
library(truncnorm)
dataNum <- c(433.6668, 413.0450, 435.9952, 449.7559, 457.3629, 498.6187, 598.0335, 637.5611, 644.9193, 634.4843, 620.8676, 590.6622, 581.6411, 572.5022, 594.0925, 587.7293, 608.4948, 626.7594, 599.0286, 611.2966, 572.1749, 545.0071, 490.0298, 478.8484, 458.8293, 437.4878, 467.7026, 477.4094, 467.4182, 519.3056, 599.0155, 648.8603, 623.0672, 606.3737, 552.3653, 558.7612, 553.1345, 549.5961, 546.0578, 565.4582, 562.6825, 606.6225, 578.1584, 572.6201, 546.4735, 514.8147, 479.4638, 462.7702, 430.3652, 452.9671)

如果我使用库（truncnorm）来拟合截断的正态分布，一切正常。

fit.dataNormTrunc2 <- fitdist(dataNum, "truncnorm", fix.arg=list(a=min(dataNum)), start = list(mean = mean(dataNum), sd = sd(dataNum)))
plot(fit.dataNormTrunc2)

但是，如果我尝试使用 truncdist 包，则只会打印直方图比较图，而不会打印任何其他图（例如 qq-plot）。我也收到一个错误：

Error in qtNorm(p = c(0.01, 0.03, 0.05, 0.07, 0.09, 0.11, 0.13, 0.15,  : 
unused argument (p = c(0.01, 0.03, 0.05, 0.07, 0.09, 0.11, 0.13, 0.15, 0.17, 0.19, 0.21, 0.23, 0.25, 0.27, 0.29, 0.31, 0.33, 0.35, 0.37, 0.39, 0.41, 0.43, 0.45, 0.47, 0.49, 0.51, 0.53, 0.55, 0.57, 0.59, 0.61, 0.63, 0.65, 0.67, 0.69, 0.71, 0.73, 0.75, 0.77, 0.79, 0.81, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99))

使用的代码是：

dtNorm <- function(x, mean, sd) {
    dtrunc(x, "norm", mean, sd, a=min(dataNum), b=Inf)
}
ptNorm <- function(x, mean, sd) {
    ptrunc(x, "norm", mean, sd, a=min(dataNum), b=Inf)
}
qtNorm <- function(x, mean, sd) {
    qtrunc(x, "norm", mean, sd, a=min(dataNum), b=Inf)
}
fit.dataNormTrunc <- fitdist(dataNum, "tNorm", start = c(mean=mean(dataNum), sd=sd(dataNum)))
plot(fit.dataNormTrunc)

我还尝试了使用对数正态函数的 truncdist 方法，并且其他 3 个图再次没有打印出来，并且我得到了关于未使用的值的相同错误。

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