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Use read.csv with string
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| library(readr) | |
| music_df <- read_tsv(file = | |
| 'Subject TimeGuess Music | |
| subj1 43 control | |
| subj2 18 control | |
| subj3 68 control | |
| subj4 26 control | |
| subj5 40 control | |
| subj6 47 control | |
| subj7 29 control | |
| subj8 38 control | |
| subj9 29 control | |
| subj10 41 control | |
| subj11 36 control | |
| subj12 23 control | |
| subj13 52 control | |
| subj14 48 control | |
| subj15 34 control | |
| subj16 40 control | |
| subj17 27 control | |
| subj18 21 control | |
| subj19 33 control | |
| subj20 48 control | |
| subj1 53 upbeat | |
| subj2 28 upbeat | |
| subj3 67 upbeat | |
| subj4 49 upbeat | |
| subj5 66 upbeat | |
| subj6 50 upbeat | |
| subj7 46 upbeat | |
| subj8 47 upbeat | |
| subj9 68 upbeat | |
| subj10 61 upbeat | |
| subj11 43 upbeat | |
| subj12 40 upbeat | |
| subj13 81 upbeat | |
| subj14 63 upbeat | |
| subj15 49 upbeat | |
| subj16 52 upbeat | |
| subj17 31 upbeat | |
| subj18 64 upbeat | |
| subj19 52 upbeat | |
| subj20 47 upbeat | |
| subj1 56 calm | |
| subj2 28 calm | |
| subj3 93 calm | |
| subj4 58 calm | |
| subj5 76 calm | |
| subj6 70 calm | |
| subj7 67 calm | |
| subj8 55 calm | |
| subj9 74 calm | |
| subj10 67 calm | |
| subj11 57 calm | |
| subj12 43 calm | |
| subj13 100 calm | |
| subj14 73 calm | |
| subj15 62 calm | |
| subj16 56 calm | |
| subj17 33 calm | |
| subj18 94 calm | |
| subj19 51 calm | |
| subj20 49 calm | |
| ') |
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| music_df <- read.csv(text = | |
| 'Subject TimeGuess Music | |
| subj1 43 control | |
| subj2 18 control | |
| subj3 68 control | |
| subj4 26 control | |
| subj5 40 control | |
| subj6 47 control | |
| subj7 29 control | |
| subj8 38 control | |
| subj9 29 control | |
| subj10 41 control | |
| subj11 36 control | |
| subj12 23 control | |
| subj13 52 control | |
| subj14 48 control | |
| subj15 34 control | |
| subj16 40 control | |
| subj17 27 control | |
| subj18 21 control | |
| subj19 33 control | |
| subj20 48 control | |
| subj1 53 upbeat | |
| subj2 28 upbeat | |
| subj3 67 upbeat | |
| subj4 49 upbeat | |
| subj5 66 upbeat | |
| subj6 50 upbeat | |
| subj7 46 upbeat | |
| subj8 47 upbeat | |
| subj9 68 upbeat | |
| subj10 61 upbeat | |
| subj11 43 upbeat | |
| subj12 40 upbeat | |
| subj13 81 upbeat | |
| subj14 63 upbeat | |
| subj15 49 upbeat | |
| subj16 52 upbeat | |
| subj17 31 upbeat | |
| subj18 64 upbeat | |
| subj19 52 upbeat | |
| subj20 47 upbeat | |
| subj1 56 calm | |
| subj2 28 calm | |
| subj3 93 calm | |
| subj4 58 calm | |
| subj5 76 calm | |
| subj6 70 calm | |
| subj7 67 calm | |
| subj8 55 calm | |
| subj9 74 calm | |
| subj10 67 calm | |
| subj11 57 calm | |
| subj12 43 calm | |
| subj13 100 calm | |
| subj14 73 calm | |
| subj15 62 calm | |
| subj16 56 calm | |
| subj17 33 calm | |
| subj18 94 calm | |
| subj19 51 calm | |
| subj20 49 calm | |
| ', sep = '\t') |
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