f（x，...）出错：缺少参数“x”，nlm中没有默认值

Question

rm(list=ls(all=TRUE))
data <- read.csv("con.csv", header=TRUE, sep = ",")
x <- data$X0
n = length(x); T1 <- 1
f <- function(a,b) {
  L <- (n*log(a))+(n*a*log(T1))+(n*a*log(b))-(n*log((T1^a)-(b^a)))- ((a+1)*sum(log(b+x)))
  return(-L)  
}

ML <- nlm(f, c(0.01,0.17))

结果 f（x，...）出错：缺少参数“x”，没有默认值 帮助我找出解决问题的错误和解决方案

Answer 1

传递给函数csv的参数必须是单个向量。这是正确的定义：

import pandas as pd
import boto3

bucket = "yourbucket"
file_name = "your_file.csv"

s3 = boto3.client('s3') 
# 's3' is a key word. create connection to S3 using default config and all buckets within S3

obj = s3.get_object(Bucket= bucket, Key= file_name) 
# get object and file (key) from bucket

initial_df = pd.read_csv(obj['Body']) # 'Body' is a key word

和一个工作示例：

f

结果是：

f <- function(pars) {
  L <- (n*log(pars[1]))+(n*pars[1]*log(T1))+(n*pars[1]*log(pars[2]))-
       (n*log((T1^pars[1])-(pars[2]^pars[1])))- ((pars[1]+1)*sum(log(pars[2]+x)))
  return(-L)  
}