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#> [25] "df_squared.rdata" "diffs.rdata"
#> [27] "example1_headless.csv" "example1.csv"
#> [29] "excel_table_data.xlsx" "get_USDA_NASS_data.R"
#> [31] "ibm.rdata" "iris_excel.xlsx"
#> [33] "lab_df.rdata" "movies.sas7bdat"
#> [35] "nacho_data.csv" "NearestPoint.R"
#> [37] "not_a_csv.txt" "opt.rdata"
#> [39] "outcome.rdata" "pca.rdata"
#> [41] "pred.rdata" "pred2.rdata"
#> [43] "sat.rdata" "singles.txt"
#> [45] "state_corn_yield.rds" "student_data.rdata"
#> [47] "suburbs.txt" "tab1.csv"
#> [49] "tls.rdata" "triples.txt"
#> [51] "ts_acf.rdata" "workers.rdata"
#> [53] "world_series.csv" "xy.rdata"
#> [55] "yield.Rdata" "z.RData"
如果你只想查看目录中的文件而不是在过程中使用文件名,最简单的方法是打开 ...