The goal of this tutorial is to list all the functions defined inside a package. In order to do this, the package should be first installed and loaded. This could be useful if we want to search for methods inside a package.
# We are going to use the ls function to list all the functions of a package
# First we need to load the library
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union# Now we list the functions of the package
# The structure is as follows, just change the package name to list the proper functions
ls("package:dplyr")## [1] "%>%" "add_op_single"
## [3] "add_row" "add_rownames"
## [5] "all_equal" "anti_join"
## [7] "arrange" "arrange_"
## [9] "as_data_frame" "as.tbl"
## [11] "as.tbl_cube" "auto_copy"
## [13] "base_agg" "base_no_win"
## [15] "base_scalar" "base_win"
## [17] "bench_tbls" "between"
## [19] "bind_cols" "bind_rows"
## [21] "build_sql" "case_when"
## [23] "changes" "coalesce"
## [25] "collapse" "collect"
## [27] "combine" "common_by"
## [29] "compare_tbls" "compute"
## [31] "contains" "copy_lahman"
## [33] "copy_nycflights13" "copy_to"
## [35] "count" "count_"
## [37] "cumall" "cumany"
## [39] "cume_dist" "cummean"
## [41] "current_vars" "data_frame"
## [43] "data_frame_" "db_analyze"
## [45] "db_begin" "db_commit"
## [47] "db_create_index" "db_create_indexes"
## [49] "db_create_table" "db_data_type"
## [51] "db_drop_table" "db_explain"
## [53] "db_has_table" "db_insert_into"
## [55] "db_list_tables" "db_query_fields"
## [57] "db_query_rows" "db_rollback"
## [59] "db_save_query" "dense_rank"
## [61] "desc" "dim_desc"
## [63] "distinct" "distinct_"
## [65] "do" "do_"
## [67] "ends_with" "escape"
## [69] "eval_tbls" "everything"
## [71] "explain" "failwith"
## [73] "filter" "filter_"
## [75] "first" "frame_data"
## [77] "full_join" "funs"
## [79] "funs_" "glimpse"
## [81] "group_by" "group_by_"
## [83] "group_by_prepare" "group_indices"
## [85] "group_indices_" "group_size"
## [87] "grouped_df" "groups"
## [89] "has_lahman" "has_nycflights13"
## [91] "id" "ident"
## [93] "if_else" "inner_join"
## [95] "intersect" "is.grouped_df"
## [97] "is.ident" "is.sql"
## [99] "is.src" "is.tbl"
## [101] "join_query" "lag"
## [103] "lahman_df" "lahman_dt"
## [105] "lahman_mysql" "lahman_postgres"
## [107] "lahman_sqlite" "lahman_srcs"
## [109] "last" "lead"
## [111] "left_join" "location"
## [113] "lst" "lst_"
## [115] "make_tbl" "matches"
## [117] "memdb_frame" "min_rank"
## [119] "mutate" "mutate_"
## [121] "mutate_all" "mutate_at"
## [123] "mutate_each" "mutate_each_"
## [125] "mutate_each_q" "mutate_if"
## [127] "n" "n_distinct"
## [129] "n_groups" "na_if"
## [131] "named_commas" "nasa"
## [133] "near" "nth"
## [135] "ntile" "num_range"
## [137] "nycflights13_postgres" "nycflights13_sqlite"
## [139] "one_of" "op_base"
## [141] "op_double" "op_grps"
## [143] "op_single" "op_sort"
## [145] "op_vars" "order_by"
## [147] "partial_eval" "percent_rank"
## [149] "progress_estimated" "query"
## [151] "rbind_all" "rbind_list"
## [153] "recode" "recode_factor"
## [155] "regroup" "rename"
## [157] "rename_" "rename_vars"
## [159] "rename_vars_" "right_join"
## [161] "row_number" "rowwise"
## [163] "same_src" "sample_frac"
## [165] "sample_n" "select"
## [167] "select_" "select_if"
## [169] "select_query" "select_vars"
## [171] "select_vars_" "semi_join"
## [173] "semi_join_query" "set_op_query"
## [175] "setdiff" "setequal"
## [177] "show_query" "slice"
## [179] "slice_" "sql"
## [181] "sql_build" "sql_escape_ident"
## [183] "sql_escape_string" "sql_infix"
## [185] "sql_join" "sql_not_supported"
## [187] "sql_prefix" "sql_quote"
## [189] "sql_render" "sql_select"
## [191] "sql_semi_join" "sql_set_op"
## [193] "sql_subquery" "sql_translate_env"
## [195] "sql_translator" "sql_variant"
## [197] "sql_vector" "src"
## [199] "src_desc" "src_df"
## [201] "src_local" "src_memdb"
## [203] "src_mysql" "src_postgres"
## [205] "src_sql" "src_sqlite"
## [207] "src_tbls" "starts_with"
## [209] "summarise" "summarise_"
## [211] "summarise_all" "summarise_at"
## [213] "summarise_each" "summarise_each_"
## [215] "summarise_each_q" "summarise_if"
## [217] "summarize" "summarize_"
## [219] "summarize_all" "summarize_at"
## [221] "summarize_each" "summarize_each_"
## [223] "summarize_if" "tally"
## [225] "tbl" "tbl_cube"
## [227] "tbl_df" "tbl_sql"
## [229] "tbl_vars" "test_frame"
## [231] "test_load" "test_register_src"
## [233] "tibble" "top_n"
## [235] "translate_sql" "translate_sql_"
## [237] "transmute" "transmute_"
## [239] "trunc_mat" "type_sum"
## [241] "ungroup" "union"
## [243] "union_all" "vars"
## [245] "with_order"# We can choose to list only the interesting functions for us using the pattern parameter
ls("package:dplyr", pattern = "sql")## [1] "build_sql" "is.sql" "lahman_mysql"
## [4] "lahman_sqlite" "nycflights13_sqlite" "sql"
## [7] "sql_build" "sql_escape_ident" "sql_escape_string"
## [10] "sql_infix" "sql_join" "sql_not_supported"
## [13] "sql_prefix" "sql_quote" "sql_render"
## [16] "sql_select" "sql_semi_join" "sql_set_op"
## [19] "sql_subquery" "sql_translate_env" "sql_translator"
## [22] "sql_variant" "sql_vector" "src_mysql"
## [25] "src_sql" "src_sqlite" "tbl_sql"
## [28] "translate_sql" "translate_sql_"# Or for example
ls("package:dplyr", pattern = "summarise")## [1] "summarise" "summarise_" "summarise_all"
## [4] "summarise_at" "summarise_each" "summarise_each_"
## [7] "summarise_each_q" "summarise_if"In this tutorial we have learnt how to list all the functions inside a package. We have added some filters to look for certain functions that are more interesting for us. Remember it’s mandatory to load the package first.