Error in rmvnorm(1, mean = mu2, sigma = sigma2) : unused argument (mean = mu2)
时间: 2023-11-16 22:03:49 浏览: 177
这个错误提示是因为你在调用 `rmvnorm()` 函数时使用了一个不支持的参数 `mean`。`rmvnorm()` 函数来自于 `mvtnorm` 包,它的参数列表中没有 `mean` 这个参数。
如果你想指定多元正态分布的均值,可以在生成协方差矩阵时加上均值向量,例如:
```R
library(mvtnorm)
mu <- c(0, 0)
sigma <- matrix(c(1, 0.5, 0.5, 1), nrow = 2, ncol = 2)
x <- rmvnorm(1, mean = mu + 1, sigma = sigma)
```
这里的 `mu` 指定了均值向量,`sigma` 是协方差矩阵。在生成随机样本时,我们需要加上均值向量,以保证生成的随机向量是以 `mu` 为中心的。
希望这可以帮助到你!
相关问题
Error in forecast(x_fit2, h = 12) : unused argument (h = 12)
This error message indicates that the function "forecast" is being called with an argument "h" that is not recognized by the function. The "h" argument specifies the number of forecast periods to generate, but it appears that the argument is not supported by the "forecast" function that is being called.
To resolve this error, you may need to check the documentation or help file for the "forecast" function to determine the correct argument names and syntax to use. Alternatively, you may need to use a different forecasting function that supports the "h" argument or specify the forecast horizon in a different way.
Error in position_dodgev(width = 0.8) : unused argument (width = 0.8)
非常抱歉,我犯了一个错误。在 `ggplot2` 版本 3.0.0 之后,`position_dodgev` 函数已被弃用,并被 `position_dodge` 取代。此外,`position_dodge` 函数需要指定 `dodge.width` 参数,而不是 `width` 参数。因此,你需要修改代码如下:
```R
ggplot(data,aes(BAI2013,class)) +
geom_boxplot(aes(fill=factor(treatment)), size=0.5, outlier.size = 1,
position = position_dodge(width = 0.8)) +
guides(fill=guide_legend(title = "treatment")) +
theme_minimal() +
theme(axis.title=element_text(size=13, face = "plain", color = "black"),
axis.text =element_text(size = 11, face = "plain", color = "black"),
panel.background=element_rect(colour = "black", fill = NA),
panel.grid.minor = element_blank(),
legend.position = "right",
legend.background=element_rect(colour=NA,fill=NA),
axis.ticks = element_line(colour = "black"))
```
这应该可以解决你的问题。感谢你的耐心和理解!
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