essayant de lire un fichier CSV avec R: NUL intégré dans la chaîne

Question

Je suis en train de lire un fichier csv simple, dans R avec ce code:

data <- read.csv(file="\0Laplacian1Entropy.csv", header=TRUE, sep=" ") 

Mais je reçois toujours cette erreur:

> Error: embedded nul in string: '\0Laplacian1Entropy.csv' 

C'est mon fichier:

i j Entropy 
1 63 0.99908075437993904 
1 64 0.99908075437993904 
2 63 0.90122030232323391 
2 64 0.92235382341992733 
3 63 0.56791528442061989 
3 64 0.67774259405167925 
4 63 0.99908075437993904 
4 64 0.96221996088169448 
5 63 0.7960934421903898 
5 64 0.71618862493713764 
6 63 0.97911703542740458 
6 64 0.46549718791094752 
7 63 0.90122030232323391 
7 64 0.73578113660861544 
8 63 0.77573042572641582 
8 64 0.77573042572641582 
9 63 0.8586686413596436 
9 64 0.90122030232323391 
10 63 0.83758110743543879 
10 64 0.67774259405167925 
11 63 0.99908075437993904 
11 64 0.8586686413596436 
12 63 0.96221996088169448 
12 64 0.67774259405167925 
13 63 0.99908075437993904 
13 64 0.8586686413596436 
14 63 0.62183659568813598 
14 64 0.56791528442061989 
15 63 0.65887781135396584 
15 64 0.8586686413596436 
16 63 0.92235382341992733 
16 64 0.92235382341992733 
17 63 0.7960934421903898 
17 64 0.92235382341992733 
18 63 0.60364928357716474 
18 64 0.90122030232323391 
19 63 0.90122030232323391 
19 64 0.83758110743543879 
20 63 0.92235382341992733 
20 64 0.71618862493713764 
21 63 0.73578113660861544 
21 64 0.96221996088169448 
22 63 0.77573042572641582 
22 64 0.96221996088169448 
23 63 0.90122030232323391 
23 64 0.97911703542740458 
24 63 0.71618862493713764 
24 64 0.8586686413596436 
25 63 0.96221996088169448 
25 64 0.99908075437993904 
26 63 0.97911703542740458 
26 64 0.7960934421903898 
27 63 0.67774259405167925 
27 64 0.71618862493713764 
28 63 0.65887781135396584 
28 64 0.67774259405167925 
29 63 0.83758110743543879 
29 64 0.90122030232323391 
30 63 0.90122030232323391 
30 64 0.77573042572641582 
31 63 0.97911703542740458 
31 64 0.73578113660861544 
32 63 0.97911703542740458 
32 64 0.99908075437993904 
33 63 0.99908075437993904 
33 64 0.8586686413596436 
34 63 0.96221996088169448 
34 64 0.92235382341992733 
35 63 0.65887781135396584 
35 64 0.96221996088169448 
36 63 0.62183659568813598 
36 64 0.62183659568813598 
37 63 0.60364928357716474 
37 64 0.97911703542740458 
38 63 0.99908075437993904 
38 64 0.90122030232323391 
39 63 0.90122030232323391 
39 64 0.97911703542740458 
40 63 0.7960934421903898 
40 64 0.73578113660861544 
41 63 0.71618862493713764 
41 64 0.96221996088169448 
42 63 0.51584300284627072 
42 64 0.67774259405167925 
43 63 0.51584300284627072 
43 64 0.97911703542740458 
44 63 0.99908075437993904 
44 64 0.96221996088169448 
45 63 0.97911703542740458 
45 64 0.96221996088169448 
46 63 0.60364928357716474 
46 64 0.67774259405167925 
47 63 0.40086503572425503 
47 64 0.62183659568813598 
48 63 0.83758110743543879 
48 64 0.56791528442061989 
49 63 0.56791528442061989 
49 64 0.8586686413596436 
50 63 0.56791528442061989 
50 64 0.96221996088169448 
51 63 0.99908075437993904 
51 64 0.8586686413596436 
52 63 0.67774259405167925 
52 64 0.83758110743543879 
53 63 0.83758110743543879 
53 64 0.77573042572641582 
54 63 0.92235382341992733 
54 64 0.92235382341992733 
55 63 0.83758110743543879 
55 64 0.83758110743543879 
56 63 0.92235382341992733 
56 64 0.92235382341992733 
57 63 0.99908075437993904 
57 64 0.73578113660861544 
58 63 0.62183659568813598 
58 64 0.99908075437993904 
59 63 0.67774259405167925 
59 64 0.96221996088169448 
60 63 0.99908075437993904 
60 64 0.97911703542740458 
61 63 0.60364928357716474 
61 64 0.97911703542740458 
62 63 0.96221996088169448 
62 64 0.46549718791094752 
63 1 0.92235382341992733 
63 2 0.97911703542740458 
63 3 0.97911703542740458 
63 4 0.7960934421903898 
63 5 0.8586686413596436 
63 6 0.7960934421903898 
63 7 0.77573042572641582 
63 8 0.26477764946943599 
63 9 0.97911703542740458 
63 10 0.71618862493713764 
63 11 0.62183659568813598 
63 12 0.77573042572641582 
63 13 0.51584300284627072 
63 14 0.62183659568813598 
63 15 0.96221996088169448 
63 16 0.99908075437993904 
63 17 0.7960934421903898 
63 18 0.96221996088169448 
63 19 0.65887781135396584 
63 20 0.62183659568813598 
63 21 0.92235382341992733 
63 22 0.96221996088169448 
63 23 0.83758110743543879 
63 24 0.56791528442061989 
63 25 0.92235382341992733 
63 26 0.71618862493713764 
63 27 0.65887781135396584 
63 28 0.99908075437993904 
63 29 0.8586686413596436 
63 30 0.7960934421903898 
63 31 0.67774259405167925 
63 32 0.67774259405167925 
63 33 0.97911703542740458 
63 34 0.83758110743543879 
63 35 0.99908075437993904 
63 36 0.71618862493713764 
63 37 0.97911703542740458 
63 38 0.97911703542740458 
63 39 0.44907944580528197 
63 40 0.65887781135396584 
63 41 0.96221996088169448 
63 42 0.77573042572641582 
63 43 0.77573042572641582 
63 44 0.67774259405167925 
63 45 0.73578113660861544 
63 46 0.71618862493713764 
63 47 0.90122030232323391 
63 48 0.97911703542740458 
63 49 0.90122030232323391 
63 50 0.62183659568813598 
63 51 0.97911703542740458 
63 52 0.8586686413596436 
63 53 0.90122030232323391 
63 54 0.67774259405167925 
63 55 0.97911703542740458 
63 56 0.55035872021707255 
63 57 0.90122030232323391 
63 58 0.77573042572641582 
63 59 0.7960934421903898 
63 60 0.8586686413596436 
63 61 0.55035872021707255 
63 62 0.92235382341992733 
63 63 0.56791528442061989 
63 64 0.71618862493713764 
63 65 0.99908075437993904 
63 66 0.65887781135396584 
63 67 0.96221996088169448 
63 68 0.96221996088169448 
63 69 0.96221996088169448 
63 70 0.8586686413596436 
63 71 0.96221996088169448 
63 72 0.96221996088169448 
63 73 0.8586686413596436 
63 74 0.62183659568813598 
63 75 0.83758110743543879 
63 76 0.77573042572641582 
63 77 0.60364928357716474 
63 78 0.97911703542740458 
63 79 0.7960934421903898 
63 80 0.83758110743543879 
63 81 0.77573042572641582 
63 82 0.90122030232323391 
63 83 0.8586686413596436 
63 84 0.83758110743543879 
63 85 0.73578113660861544 
63 86 0.96221996088169448 
63 87 0.67774259405167925 
63 88 0.99908075437993904 
63 89 0.90122030232323391 
63 90 0.96221996088169448 
63 91 0.56791528442061989 
63 92 0.97911703542740458 
63 93 0.92235382341992733 
63 94 0.83758110743543879 
63 95 0.99908075437993904 
63 96 0.83758110743543879 
63 97 0.7960934421903898 
63 98 0.62183659568813598 
63 99 0.99908075437993904 
63 100 0.97911703542740458 
63 101 0.62183659568813598 
63 102 0.65887781135396584 
63 103 0.56791528442061989 
63 104 0.73578113660861544 
63 105 0.83758110743543879 
63 106 0.60364928357716474 
63 107 0.67774259405167925 
63 108 0.8586686413596436 
63 109 0.56791528442061989 
63 110 0.96221996088169448 
63 111 0.92235382341992733 
63 112 0.7960934421903898 
63 113 0.92235382341992733 
63 114 0.99908075437993904 
63 115 0.83758110743543879 
63 116 0.92235382341992733 
63 117 0.73578113660861544 
63 118 0.67774259405167925 
63 119 0.99908075437993904 
63 120 0.83758110743543879 
63 121 0.97911703542740458 
63 122 0.7960934421903898 
63 123 0.7960934421903898 
63 124 0.62183659568813598 
63 125 0.62183659568813598 
63 126 0.8586686413596436 
64 1 0.90122030232323391 
64 2 0.90122030232323391 
64 3 0.96221996088169448 
64 4 0.51584300284627072 
64 5 0.8586686413596436 
64 6 0.67774259405167925 
64 7 0.97911703542740458 
64 8 0.92235382341992733 
64 9 0.7960934421903898 
64 10 0.73578113660861544 
64 11 0.96221996088169448 
64 12 0.96221996088169448 
64 13 0.99908075437993904 
64 14 0.56791528442061989 
64 15 0.77573042572641582 
64 16 0.90122030232323391 
64 17 0.7960934421903898 
64 18 0.90122030232323391 
64 19 0.7960934421903898 
64 20 0.90122030232323391 
64 21 0.7960934421903898 
64 22 0.77573042572641582 
64 23 0.97911703542740458 
64 24 0.71618862493713764 
64 25 0.96221996088169448 
64 26 0.83758110743543879 
64 27 0.92235382341992733 
64 28 0.77573042572641582 
64 29 0.73578113660861544 
64 30 0.62183659568813598 
64 31 0.83758110743543879 
64 32 0.97911703542740458 
64 33 0.73578113660861544 
64 34 0.7960934421903898 
64 35 0.90122030232323391 
64 36 0.96221996088169448 
64 37 0.73578113660861544 
64 38 0.51584300284627072 
64 39 0.49887493461148946 
64 40 0.71618862493713764 
64 41 0.71618862493713764 
64 42 0.83758110743543879 
64 43 0.99908075437993904 
64 44 0.62183659568813598 
64 45 0.96221996088169448 
64 46 0.65887781135396584 
64 47 0.71618862493713764 
64 48 0.8586686413596436 
64 49 0.8586686413596436 
64 50 0.65887781135396584 
64 51 0.60364928357716474 
64 52 0.7960934421903898 
64 53 0.8586686413596436 
64 54 0.96221996088169448 
64 55 0.8586686413596436 
64 56 0.8586686413596436 
64 57 0.73578113660861544 
64 58 0.49887493461148946 
64 59 0.96221996088169448 
64 60 0.92235382341992733 
64 61 0.96221996088169448 
64 62 0.8586686413596436 
64 63 0.36955204268044284 
64 64 0.44907944580528197 

Je me demande quel est le problème.

Answer 1

Cela n'a rien à voir avec votre fichier csv. Le message d'erreur indique que vous avez incorporé un caractère nul dans le nom de fichier: \0 indique ASCII byte == 0, ce qui est interdit dans une chaîne R (en interne, il indique la fin d'une chaîne). Vous pourriez vouloir dire "\\0Laplacian1Entropy.csv" ou "/0Laplacian1Entropy.csv". Quoi qu'il en soit, si vous souhaitez inclure une barre oblique inverse dans une chaîne, vous devez y échapper avec ... une barre oblique inverse.

Answer 2

Supprimer de "\ 0" et laissez votre commande comme celui-ci:

data <- read.csv(file="Laplacian1Entropy.csv", header=TRUE, sep=" ")

head(data)