Python 使用带有PyRserve的R包pmultinom

我试图通过使用pyRserve在Python中使用R包pmultinom，并将数字导入到代码中。我有以下错误：

REvalError:错误：找不到对象“pmultinom”

import pyRserve
num1 = 1
num2 = 2
num3 = 3
num4 = 4
num5 = 5
num6 = 6
vec1 = (.2,.3,.5)

r_script = '''
           install.packages(pmultinom)
           library(pmultinom)
        
           pmultinom(
           '''
full_rscript =( r_script + 'lower=c(' + str(num1) + ',' + str(num2) + ',' + str(num3) + 
                               '), upper=c(' + str(num4) + ',' + str(num5) + ',' +  
                                   str(num6) + 
                                   '), size=' + str(num7) + ', probs=' + str(vec1) + ')'
           )
output = conn.eval(full_rscript) 

当我尝试使用类似的代码时

conn.r.pmultinom(…)

---

我发现一个错误，无法找到该函数。

这里有一个使用

pyper

的选项，因为我们在生产设置中使用了它，它工作时没有任何问题

from pyper import *
r = R(use_pandas=True)
num1 = 1
num2 = 2
num3 = 3
num4 = 4
num5 = 5
num6 = 6
num7 = 20000
vec1 = (.17649, .17542, .15276, .15184, .17227, .17122)

我们不需要创建单个对象，它可以是列表或元组，如

vec1

中所示。只是为了证明

r.assign("rnum1", num1)
r.assign("rnum2", num2)
r.assign("rnum3", num3)
r.assign("rnum4", num4)
r.assign("rnum5", num5)
r.assign("rnum6", num6)
r.assign("rnum7", num7)
r.assign("rvec1", vec1)

创建表达式

expr = "library(pmultinom); out <- pmultinom(lower = c(rnum1, rnum2, rnum3, rnum4, rnum5, rnum6), upper = rep.int(3630, 6), size = rnum7, probs = rvec1, method = 'exact')"

-直接从R侧测试

num1 = 1
num2 = 2
num3 = 3
num4 = 4
num5 = 5
num6 = 6
num7 = 20000
vec1 = c(.17649, .17542, .15276, .15184, .17227, .17122)


pmultinom(lower = c(num1, num2, num3, num4, num5, num6), 
  upper = rep.int(3630, 6), size = num7, probs = vec1, 
       method = 'exact')
#[1] 0.956638

num1 = 1
num2 = 2
num3 = 3
num4 = 4
num5 = 5
num6 = 6
num7 = 20000
vec1 = c(.17649, .17542, .15276, .15184, .17227, .17122)


pmultinom(lower = c(num1, num2, num3, num4, num5, num6), 
  upper = rep.int(3630, 6), size = num7, probs = vec1, 
       method = 'exact')
#[1] 0.956638