我有OpenSSL（0.9.8 iirc），因此我决定在第一次使用该库之前先对其进行更新。下载version 1.1.1d后，我执行了基本例程：

library(readr)
library(tidyr)
library(purrr)
library(rlang)
library(glue)
library(dplyr)
library(miscTools)
library(matrixStats)
library(shiny)
library(reshape2)
library(dplyr)


hotdrinks<-list("tea","green tea") 
juices<-list("orange","mango") 
energydrinks<-list("powerhorse","redbull") 
drinks<-list("hotdrinks"=hotdrinks,"juices"=juices,"energydrinks"=energydrinks) 

biscuits<-list("loacker","tuc") 
choc<-list("aftereight","lindt") 
gum<-list("trident","clortes") 
sweets<-list("gum"=gum,"biscuits"=biscuits,"choc"=choc)

all_products<-list("sweets"=sweets,"drinks"=drinks)
mt<-melt(all_products)
mt2<-mt%>%mutate("Price"=c(23,34,23,54,32,45,12,56,76,43),"Quantity"=c(10,20,26,22,51,52,"amount"=c(23,43))

t1<-mt2[,c(4,3,1,5,6,7)]
t1
colnames(t1)<-c("CAT","PN","SP","Quantity","Price","amount")

t2<-list(unique(t1$CAT))
t2
QL<-c("Quantity","Price")
QD<-c("Quantity","amount")
QS<-c("amount","Price")


all <- list("drinks"=drinks,"sweets"=sweets)

FCX<-data.frame("sbo"=c("w","q","a"),"Quantity_fcx"=c(3,2,5),"Price_fcx"=c(7,8,"amount_fcx"=c(4,7,3)
)
#DF1<-Y
DF1 <- t1
DF1
#print(DF1)
DFCXL<-list(colnames(DF1[-c(1:3)]))
DFCXL
DFCX1<-lapply(DFCXL,paste0,"_fcx")
DFCX1
DFCXM<-colMeans(FCX[,unlist(DFCX1)],na.rm = FALSE)
DFCXM
DFCXMd<-colMedians(data.matrix(FCX[,unlist(DFCX1)]),na.rm = FALSE )
DFCXMddf<-as.data.frame(t(DFCXMd))
DFCXMddf
DFCX1l<-as.list(DFCX1)
colnames(DFCXMddf)<-unlist(DFCX1l)
DFCXMddf
#median repeated tibble
rDFCXMddf<-DFCXMddf[rep(seq_len(nrow(DFCXMddf)),each = nrow(DF1)),]
rDFCXMddf
DFCX<-data.frame(t(DFCXM))
DFL<-as.vector(colnames(DF1))
DFL
DFCX
#mean repeated tibble
rDFCX<-DFCX[rep(seq_len(nrow(DFCX)),]
#rDFCX
#ascending rank form smallest to largest where the smallest is the most competitive
Asclist1<-list("Quantity","amount")
#Asclist1
#descending rank form largest to smallest where the largest is the most competitive
Deslist2<-list("xyz")
#Deslist2
#DF3 contains orginal dataframe with rank for each column descending & ascending 
DF3<-
  DF1 %>% mutate_if(grepl(paste(Deslist2,collapse = "|"),names(.)),list(rank=~rank(-.))) %>% 
  mutate_if(grepl(paste(Asclist1,list(rank=~rank( .)))

DF3
#DF4 contains only determinants columns
DF4<-DF3%>%select(-one_of(DFL))
DF4
#DF5 contains all deterements with their ranks columns
DF5<-cbind(rDFCX,DF4)
DF5
#getting final rank for each column based on multiplying CX columns "weight" * normal rank to get weighted ranking
dynamic_mutate = function(DF5,col_names = gsub("(.*)_\\w+$","\\1",names(DF5)),expression = "({x}_rank*{x}_fcx)",prefix = "FINAL"){
  name_list = col_names %>% unique() %>% as.list()
  expr_list = name_list %>% lapply(function(x) parse_quosure(glue(expression))) %>% 
    setNames(paste(prefix,name_list,sep = "_")) 
  DF5 %>% mutate(!!!expr_list)}
DF6<-DF5 %>% dynamic_mutate()
#DF6
#getting mean for ranks 
DFL2<-as.vector(colnames(DF5))
DF7<-DF6%>%select(-one_of(DFL2))
#DF7
#final limit ranking 
DF8<-mutate(DF7,fnl_scr=rowMeans(DF7))
#DF8
#final rank 
Ranking<-rank(DF8$fnl_scr)
#Ranking
#final dataframe
DF9<-as_tibble(cbind(DF1,Ranking))
DF9

后来，我遇到了一些问题，但是在做

$ ./config
$ make
$ make test
$ sudo make install

和

echo 'export PATH="/usr/local/bin:$PATH"' >> ~/.bash_profile

似乎已经解决了其预期的问题。 经过进一步测试，我什么时候做

xcode-select --install

然后：

//File: "sock.cpp"
#include <openssl/ssl.h>
#include <openssl/err.h>
int main()
{
    SSL_library_init();
    return 0;
}

我得到以下人的完整答复：

g++ sock.cpp

我完全不确定如何解决此错误。

OS X EL Capitan v10.11.5

编辑：我认为我的问题与this one不同，因为似乎没有相同的解决方案。 做

Undefined symbols for architecture x86_64:
  "_OPENSSL_init_ssl",referenced from:
      _main in sock-9253e0.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)

给出相同的错误输出。