如何在rpy2中通过ListVector乘以标量(How to multiply scalar by ListVector in rpy2)

如何在rpy2中通过ListVector乘以标量(How to multiply scalar by ListVector in rpy2)

我正在运行以下分析并尝试绘制我的模型的逆逻辑：

R.plot(formula, data=data, ylab = 'P(outcome = 1 | outcome)', xlab = 'SURVRATE: Probability of Survival after 5 Years', xaxp = c(0, 95, 19)) a = R.coef(mod1)[0] b = R.coef(mod1)[1] R.curve(invlogit(a + b*R.x))

invlogit是我通过STAP访问的R函数。

一切都很好，但是当我运行curve函数时，出现TypeError: unsupported operand type(s) for *: 'float' and 'ListVector'错误TypeError: unsupported operand type(s) for *: 'float' and 'ListVector' ...

我已经尝试过各种处理方式，比如使用np.multiply等，都无济于事。 我如何处理python中ListVector的标量乘法？

I'm running the following analysis and trying to plot the inverse logit of my model:

R.plot(formula, data=data, ylab = 'P(outcome = 1 | outcome)', xlab = 'SURVRATE: Probability of Survival after 5 Years', xaxp = c(0, 95, 19)) a = R.coef(mod1)[0] b = R.coef(mod1)[1] R.curve(invlogit(a + b*R.x))

invlogit is an R function that I am accessing via STAP.

Everything works great, but when I run the curve function, I get an error that TypeError: unsupported operand type(s) for *: 'float' and 'ListVector'...

I've tried various ways of handling this, like using np.multiply among others, all to no avail. How do I handle multiplication of a scalar by a ListVector within python?

最满意答案

Kludgey解决方案就是使用rmagic命令。 它似乎是将我所有的R代码转换为rpy2等价物的阻力最小的路径。

Kludgey solution is to just use the rmagic commands. It appears to be the path of least resistance to convert all my R code to the rpy2 equivalent.