如何在R包中找到所有函数？

您可以使用以下命令获取包中的所有对象：

ls("package:caTools")

您可以使用以下命令获取包中的所有函数签名：

lsf.str("package:caTools")

我猜您只是在寻找，这将打开您的浏览器，进入列出“caTools”包中所有功能的相关帮助页面。help(package = caTools)

您也可以尝试：，但这似乎并不能捕获所有内容。后一种方法的好处是，您可以捕获输出，以防您需要在其他地方引用它：library(help = caTools)

x <- library(help = caTools)
x$info[[2]]
#  [1] "LogitBoost              LogitBoost Classification Algorithm"          
#  [2] "base64encode            Convert R vectors to/from the Base64 format"  
#  [3] "caTools-package         Tools: moving window statistics, GIF, Base64,"
#  [4] "                        ROC AUC, etc."                                
#  [5] "colAUC                  Column-wise Area Under ROC Curve (AUC)"       
#  [6] "combs                   All Combinations of k Elements from Vector v" 
#  [7] "predict.LogitBoost      Prediction Based on LogitBoost Classification"
#  [8] "                        Algorithm"                                    
#  [9] "read.ENVI               Read and Write Binary Data in ENVI Format"    
# [10] "read.gif                Read and Write Images in GIF format"          
# [11] "runmad                  Median Absolute Deviation of Moving Windows"  
# [12] "runmean                 Mean of a Moving Window"                      
# [13] "runmin                  Minimum and Maximum of Moving Windows"        
# [14] "runquantile             Quantile of Moving Window"                    
# [15] "runsd                   Standard Deviation of Moving Windows"         
# [16] "sample.split            Split Data into Test and Train Set"           
# [17] "sumexact                Basic Sum Operations without Round-off Errors"
# [18] "trapz                   Trapezoid Rule Numerical Integration"   

包 （CRAN）（开发版本：GitHub）适用于此目的。具体来说，就是功能。pacmanp_funs

语法为：

p_funs(caTools)  # exported
p_funs(caTools, TRUE)  # includes non-exported

如果您希望所有导出的函数（即可通过 访问的函数），那么就可以了。::getNamespaceExports(pkgName)

如果您想要包中的所有功能，包括可通过 访问的功能，您可以执行 。:::ls(getNamespace(pkgName))

例如，使用以下软件包：stringr

getNamespaceExports("stringr")
[1] "fixed"           "ignore.case"     "invert_match"    "perl"            "str_c"               "str_count"       "str_detect"      "str_dup"         "str_extract"    
[10] "str_extract_all" "str_join"        "str_length"      "str_locate"      "str_locate_all"  "str_match"       "str_match_all"   "str_pad"         "str_replace"    
[19] "str_replace_all" "str_split"       "str_split_fixed" "str_sub"         "str_sub<-"       "str_trim"        "str_wrap"        "word" 

但是，我们知道它存在于包中，正如您所看到的：stringr:::is.perl

setdiff(ls(getNamespace("stringr")), getNamespaceExports("stringr"))
[1] "case.ignored"    "check_pattern"   "check_string"    "compact"         "is.fixed"        "is.perl"         "match_to_matrix" "re_call"         "recyclable"     
[10] "re_mapply"   

因此，我们看到除了函数之外，它还包含所有函数。ls(getNamespace("stringr"))getNamespaceExports("stringr"):::

另一种方法是使用包collidr

library(collidr)
library(dplyr)

collidr::CRANdf %>% 
  filter(package_names  == "caTools")

#    package_names     function_names
# 1        caTools    caTools-package
# 2        caTools       base64encode
# 3        caTools       base64decode
# 4        caTools             colAUC
# 5        caTools              combs
# 6        caTools         LogitBoost
# 7        caTools predict.LogitBoost
# 8        caTools          read.ENVI
# 9        caTools         write.ENVI
# 10       caTools           read.gif
# 11       caTools          write.gif
# 12       caTools             runmad
# 13       caTools            runmean
# 14       caTools             runmin
# 15       caTools             runmax
# 16       caTools        runquantile
# 17       caTools              runsd
# 18       caTools       sample.split
# 19       caTools          sumexact,
# 20       caTools        cumsumexact
# 21       caTools              trapz

只是想，如果你只是去环境选项卡->点击全局环境-->点击你想看的包（我在这里选择是为了演示，但在你的情况下，它将是），所有功能、值和数据都会被显示出来。dplyrcaTools