如何在 R 包中正确使用其他包中的函数

本文介绍了如何在 R 包中正确使用其他包中的函数的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我对此有点困惑.我有一个 R 包，它有一个小函数(不是包的主要部分)，其中调用了 psych 包的 principal 函数.如何在DESCRIPTION和NAMESPACE中正确指定?

I am a bit confused about this. I have an R package that has a small function (not a mayor part of the package) in which the principal function of the psych package is called. How do I correctly specify this in DESCRIPTION and NAMESPACE?

在DESCRIPTION中设置Depends: psych可确保每次加载我的包时都会加载psych包.这可行，但对于我的包裹的这么小部分来说似乎是多余的.

Setting Depends: psych in DESCRIPTION makes sure the psych package is loaded every time my package is loaded. This works, but it seems redundant for such a small part of my package.

设置 Suggests: psych 并在函数中输入 require("psych") 是我现在所做的，但是如果 psych 未安装，并且似乎是错误的做法(编写 R 扩展表示该建议主要用于示例).

Setting Suggests: psych and entering a require("psych") in the function is what I do now, however this does not work if psych is not installed, and seems to be the wrong way of doing this (writing R extensions says that suggest is meant mainly for examples).

我想我需要导入这个函数.我尝试在DESCRIPTION中设置Imports: psych，在NAMESPACE中设置importFrom(psych,"principal").这可行，但在没有安装 psych 的计算机上，加载我的包时会出错.

I think I need to import the function. I tried setting Imports: psych in DESCRIPTION and importFrom(psych,"principal") in NAMESPACE. This works, but on a computer that does not has psych installed it gives an error when loading my package.

推荐答案

您需要回答的基本问题是:您是否希望该功能对包的所有用户都可用，而无需进一步努力?".如果是，则使用导入 + 适当的命名空间声明，如果否，则使用建议并在 require("psych") 返回 FALSE 时打印信息性错误消息.

The basic question you need to answer is: "do you want the function to be available to all users of the package without further effort?". If yes, then use imports + the appropriate namespace declarations, if no, then use suggests and print an informative error message if require("psych") returns FALSE.

我不明白您与导入相关的投诉:但是在没有安装 psych 的计算机上，加载我的包时会出错".如果您的包在依赖中，这也是正确的！

I don't understand your import related complaint that: "but on a computer that does not has psych installed it gives an error when loading my package". This is also true if your package is in depends!