
apologies if this should be a general R question, but if someone has any suggestions to fix the problem, I'd certainly appreciate it.

I am using the fitdist function in the package fitdistrplus in R.

I have the following data that I read using 
A<-read.table("test.dat")`
this is the entire dataset
> A
             V1
1  -0.007077170
2  -0.000947418
3  -0.001897530
4  -0.000474947
5  -0.001902050
6  -0.000476077
7   0.002378120
8   0.000949668
9   0.000474496
10  0.002842260
11 -0.000473149
12 -0.000473373
13  0.000000000
14  0.000000000
15  0.002836880
16 -0.003784300
17 -0.004750600
18 -0.002383790
19 -0.002868070
20  0.000478583
21  0.000478354
22 -0.001435750
23  0.001435750
24  0.002388350
25  0.004284700
26  0.002372480
27 -0.001422810
28 -0.001424840
29  0.000000000
30  0.001424840
31  0.000948767
32  0.003786090
33 -0.000472478
34  0.000472478
35 -0.001418100
36  0.000000000
37 -0.000946522
38 -0.002844950
39  0.000000000
40  0.003318320
41  0.002835540
42  0.001414760
43 -0.001414760
44 -0.001889470
45  0.001417430
46 -0.002363510
47  0.002363510
48  0.002357940
49  0.002352390
50 -0.000940292
51 -0.001412100
52 -0.002830190
53  0.000472255
54  0.000472032
55  0.000471809
56 -0.001416100
57  0.001416100
58 -0.000943842
59  0.000472032
60 -0.000944287
61 -0.000945180
62 -0.001893040
63 -0.000473821
64 -0.000474046
65  0.003313610
66 -0.000472701
67 -0.000946074
68  0.001418780
69 -0.000945627
70 -0.001893940
71 -0.001897530
72 -0.005714300
73 -0.001433690
74 -0.003833260
75  0.001439190
76  0.000479272
77 -0.001918470
78 -0.000480192
79  0.000960154
80  0.000479731
81  0.000000000
82  0.000479501
83  0.000958313
84 -0.003838780
85 -0.002406740
86  0.000963391
87  0.000962464
88 -0.001925860
89  0.000481812
90 -0.002411380
91 -0.001449630
`
I ran the following command:

>fitdist(A$V1,"norm",method="mge",gof="CvM")`

and it generates the following:
Fitting of the distribution ' norm ' by maximum goodness-of-fit 
Parameters:
  estimate
1       NA
2       NA
Warning message:
In pnorm(q, mean, sd, lower.tail, log.p) : NaNs produced

given the above error message, I ran the below:
> mu=mean(A$V1)
> sigma=sd(A$V1)
> mu
[1] -0.0003091273
> sigma
[1] 0.002051825
> pnorm(A$V1,mu,sigma)
 [1] 0.0004859313 0.3778682282 0.2194235651 0.4677942525 0.2187728328
 [6] 0.4675752645 0.9048490462 0.7302272325 0.6487379052 0.9377179215
[11] 0.4681427154 0.4680993016 0.5598779146 0.5598779146 0.9373956798
[16] 0.0451612910 0.0152074342 0.1559769817 0.1061704134 0.6494763806
[21] 0.6494350178 0.2914741494 0.8024493726 0.9056899734 0.9874187360
[26] 0.9043830715 0.2936417791 0.2933012328 0.5598779146 0.8009684336
[31] 0.7300820807 0.9770270687 0.4682727654 0.6483730677 0.2944326177
[36] 0.5598779146 0.3780342225 0.1082503682 0.5598779146 0.9614622560
[41] 0.9373152170 0.7995942319 0.2949940199 0.2205866970 0.7999587855
[46] 0.1583537921 0.9036385181 0.9031740418 0.9027096003 0.3791890228
[51] 0.2954414771 0.1095934742 0.6483327428 0.6482924162 0.6482520879
[56] 0.2947687275 0.7997772412 0.3785308577 0.6482924162 0.3784483801
[61] 0.3782828856 0.2200710780 0.4680124750 0.4679688685 0.9612699580
[66] 0.4682295443 0.3781172281 0.8001429585 0.3782000541 0.2199411992
[71] 0.2194235651 0.0042152418 0.2918187280 0.0429384302 0.8029149383
[76] 0.6496008197 0.2164182554 0.4667778828 0.7319136560 0.6496837100
[81] 0.5598779146 0.6496421754 0.7316179594 0.0426934572 0.1533157552
[86] 0.7324331764 0.7322844499 0.2153633562 0.6500594259 0.1527813896
[91] 0.2891573876

now I am confused why I am getting an error message about NaN's.......anyone have any suggestions what might be the reason....thanks, Bobby
 		 	   		  
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