r

1: 0.000978
2: 0.00095
3: 0.000959
4: 0.001056
5: 0.001003
6: 0.001009
7: 0.000988
8: 0.000979
9: 0.001039
10: 0.001042
11: 0.000982
12: 0.001026
13: 0.00096
14: 0.001005
15: 0.00101
16: 0.001001
17: 0.000954
18: 0.000994
19: 0.000954
20: 0.000999
21: 0.001033
22: 0.000993
23: 0.001003
24: 0.001004
25: 0.001001
26: 0.00097
27: 0.000981
28: 0.001023
29: 0.001006
30: 0.001089
31: 0.00106
32: 0.000992
33: 0.000994
34: 0.001035
35: 0.001005
36: 0.001009
37: 0.001035
38: 0.001005
39: 0.000994
40: 0.000987
41: 0.001022
42: 0.001066
43: 0.00102
44: 0.001067
45: 0.000969
46: 0.001017
47: 0.001027
48: 0.001058
49: 0.000987
50: 0.000943
51: 0.000968
52: 0.001028
53: 0.001034
54: 0.000977
55: 0.001021
56: 0.000996
57: 0.00104
58: 0.001087
59: 0.000973
60: 0.000987
61: 0.000958
62: 0.001004
63: 0.000987
64: 0.001037
65: 0.000964
66: 0.000973
67: 0.00099
68: 0.000957
69: 0.000999
70: 0.000984
71: 0.000996
72: 0.000961
73: 0.001048
74: 0.00101
75: 0.001023
76: 0.001034
77: 0.000983
78: 0.001011
79: 0.00101
80: 0.000991
81: 0.000986
82: 0.001038
83: 0.00102
84: 0.000982
85: 0.001
86: 0.000975
87: 0.001057
88: 0.001014
89: 0.00101
90: 0.00102
91: 0.000983
92: 0.001009
93: 0.000992
94: 0.001002
95: 0.000995
96: 0.000994
97: 0.000963
98: 0.001015
99: 0.001032
100: 0.001012
101: 0.00103
102: 0.001032
103: 0.000974
104: 0.001002
105: 0.001004
106: 0.001028
107: 0.001
108: 0.000983
109: 0.001006
110: 0.001025
111: 0.000989
112: 0.000961
113: 0.000987
114: 0.001037
115: 0.001074
116: 0.000989
117: 0.000991
118: 0.000974
119: 0.000976
120: 0.000987
121: 0.000979
122: 0.000964
123: 0.00097
124: 0.00103
125: 0.000958
126: 0.001059
127: 0.000981
128: 0.001019
129: 0.000956
130: 0.001014
131: 0.000995
132: 0.000968
133: 0.000948
134: 0.001033
135: 0.000959
136: 0.001044
137: 0.001005
138: 0.001044
139: 0.000993
140: 0.000997
141: 0.001036
142: 0.000982
143: 0.000973
144: 0.001043
145: 0.001003
146: 0.00098
147: 0.000996
148: 0.001032
149: 0.001006
150: 0.000965
151: 0.001014
152: 0.000961
153: 0.000954
154: 0.001024
155: 0.000951
156: 0.001008
157: 0.000975
158: 0.000978
159: 0.001023
160: 0.000974
161: 0.001021
162: 0.001016
163: 0.000997
164: 0.00102
165: 0.001014
166: 0.001039
167: 0.001005
168: 0.00098
169: 0.001012
170: 0.001016
171: 0.000986
172: 0.00098
173: 0.001047
174: 0.001026
175: 0.000967
176: 0.000989
177: 0.000989
178: 0.000996
179: 0.000975
180: 0.000955
181: 0.001036
182: 0.000985
183: 0.000973
184: 0.001013
185: 0.001001
186: 0.001051
187: 0.001075
188: 0.001026
189: 0.000958
190: 0.001019
191: 0.00101
192: 0.001041
193: 0.000976
194: 0.000947
195: 0.001036
196: 0.000999
197: 0.001
198: 0.001012
199: 0.000951
200: 0.001021
201: 0.001036
202: 0.00097
203: 0.000971
204: 0.000974
205: 0.00098
206: 0.001004
207: 0.001009
208: 0.000971
209: 0.001015
210: 0.001031
211: 0.000993
212: 0.000985
213: 0.000958
214: 0.000988
215: 0.001006
216: 0.001038
217: 0.001
218: 0.000985
219: 0.000939
220: 0.001
221: 0.000973
222: 0.000985
223: 0.001022
224: 0.001028
225: 0.000953
226: 0.000969
227: 0.000923
228: 0.001046
229: 0.001023
230: 0.001014
231: 0.000977
232: 0.000945
233: 0.001042
234: 0.001047
235: 0.000983
236: 0.000973
237: 0.000987
238: 0.00105
239: 0.000983
240: 0.001021
241: 0.001046
242: 0.000984
243: 0.001054
244: 0.00098
245: 0.001052
246: 0.000981
247: 0.000981
248: 0.001023
249: 0.000993
250: 0.000939
251: 0.000976
252: 0.000972
253: 0.000956
254: 0.001001
255: 0.000986
256: 0.001012
257: 0.001022
258: 0.001038
259: 0.001004
260: 0.00095
261: 0.000962
262: 0.000946
263: 0.001015
264: 0.001002
265: 0.000947
266: 0.000949
267: 0.000986
268: 0.001002
269: 0.000964
270: 0.001033
271: 0.00096
272: 0.000987
273: 0.00106
274: 0.001021
275: 0.001028
276: 0.001006
277: 0.00101
278: 0.001006
279: 0.001036
280: 0.001017
281: 0.000996
282: 0.000972
283: 0.001028
284: 0.000956
285: 0.001013
286: 0.001042
287: 0.001036
288: 0.000981
289: 0.001082
290: 0.000995
291: 0.001029
292: 0.001002
293: 0.000994
294: 0.001032
295: 0.001
296: 0.00101
297: 0.001044
298: 0.000989
299: 0.001005
300: 0.000996
301: 0.000953
302: 0.000985
303: 0.000997
304: 0.00099
305: 0.001029
306: 0.000961
307: 0.000998
308: 0.001014
309: 0.001042
310: 0.001046
311: 0.000957
312: 0.001007
313: 0.001043
314: 0.00097
315: 0.001004
316: 0.001015
317: 0.000979
318: 0.000988
319: 0.001009
320: 0.000986
321: 0.001053
322: 0.000997
323: 0.001075
324: 0.000948
325: 0.000987
326: 0.000976
327: 0.000976
328: 0.001009
329: 0.001027
330: 0.001043
331: 0.001051
332: 0.001043
333: 0.000979
334: 0.001003
335: 0.001005
336: 0.001028
337: 0.001064
338: 0.000966
339: 0.001041
340: 0.001051
341: 0.000995
342: 0.001005
343: 0.001004
344: 0.000986
345: 0.000982
346: 0.001011
347: 0.001022
348: 0.000974
349: 0.000931
350: 0.001002
351: 0.00098
352: 0.000999
353: 0.00094
354: 0.000977
355: 0.001022
356: 0.001041
357: 0.000993
358: 0.000997
359: 0.00094
360: 0.000991
361: 0.001036
362: 0.001004
363: 0.000981
364: 0.000971
365: 0.001032
366: 0.000991
367: 0.001006
368: 0.000989
369: 0.000936
370: 0.000967
371: 0.001035
372: 0.000971
373: 0.000996
374: 0.001042
375: 0.000966
376: 0.00097
377: 0.000946
378: 0.000998
379: 0.000932
380: 0.000943
381: 0.000988
382: 0.000969
383: 0.000943
384: 0.000996
385: 0.001035
386: 0.000963
387: 0.001026
388: 0.000989
389: 0.000982
390: 0.00102
391: 0.001009
392: 0.00103
393: 0.001054
394: 0.000979
395: 0.000995
396: 0.000984
397: 0.000989
398: 0.001007
399: 0.000996
400: 0.000987
401: 0.000983
402: 0.001056
403: 0.001056
404: 0.000987
405: 0.001016
406: 0.000958
407: 0.001022
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409: 0.000923
410: 0.001006
411: 0.000972
412: 0.000978
413: 0.001032
414: 0.001022
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416: 0.001034
417: 0.000941
418: 0.001003
419: 0.001064
420: 0.000946
421: 0.000998
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423: 0.001023
424: 0.001008
425: 0.000955
426: 0.00097
427: 0.000969
428: 0.000977
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430: 0.001025
431: 0.00102
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443: 0.001015
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448: 0.000995
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451: 0.001016
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460: 0.001023
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463: 0.000968
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465: 0.000982
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469: 0.001026
470: 0.00104
471: 0.001068
472: 0.00097
473: 0.001016
474: 0.000991
475: 0.000968
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477: 0.000973
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491: 0.001093
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493: 0.001024
494: 0.00102
495: 0.000953
496: 0.000993
497: 0.000991
498: 0.000983
499: 0.001038
500: 0.000987
501: 0.000964
502: 0.000944
503: 0.000988
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505: 0.000999
506: 0.001002
507: 0.000926
508: 0.000913
509: 0.001046
510: 0.00099
511: 0.001019
512: 0.001007
513: 0.001012
514: 0.000989
515: 0.000959
516: 0.000992
517: 0.000954
518: 0.001018
519: 0.000977
520: 0.001026
521: 0.000971
522: 0.001002
523: 0.001038
524: 0.001037
525: 0.000964
526: 0.001067
527: 0.000973
528: 0.000952
529: 0.000964
530: 0.001001
531: 0.001001
532: 0.001023
533: 0.001019
534: 0.001011
535: 0.001011
536: 0.00098
537: 0.001039
538: 0.000943
539: 0.000988
540: 0.000991
541: 0.000964
542: 0.00102
543: 0.001
544: 0.001024
545: 0.000931
546: 0.000967
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551: 0.001001
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573: 0.000974
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580: 0.000966
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586: 0.00101
587: 0.001038
588: 0.001008
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651: 0.000988
652: 0.000991
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654: 0.00102
655: 0.001034
656: 0.00104
657: 0.000972
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659: 0.001059
660: 0.000995
661: 0.001013
662: 0.000998
663: 0.000962
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665: 0.000991
666: 0.001003
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668: 0.00105
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732: 0.000986
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734: 0.000943
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737: 0.000965
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739: 0.001028
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796: 0.001041
797: 0.00107
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846: 0.000966
847: 0.001004
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891: 0.001041
892: 0.001078
893: 0.000979
894: 0.001021
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896: 0.001039
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898: 0.001046
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902: 0.001019
903: 0.000999
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906: 0.001012
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911: 0.000994
912: 0.000999
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915: 0.000956
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918: 0.000961
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920: 0.000924
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922: 0.000971
923: 0.001011
924: 0.001008
925: 0.001005
926: 0.001024
927: 0.000964
928: 0.000999
929: 0.000992
930: 0.000978
931: 0.00096
932: 0.00102
933: 0.001024
934: 0.001007
935: 0.000998
936: 0.000994
937: 0.000985
938: 0.000995
939: 0.000996
940: 0.000978
941: 0.000989
942: 0.001002
943: 0.001035
944: 0.000961
945: 0.001022
946: 0.001009
947: 0.001036
948: 0.001017
949: 0.001045
950: 0.000966
951: 0.001024
952: 0.000974
953: 0.00102
954: 0.00099
955: 0.001021
956: 0.001042
957: 0.001
958: 0.000977
959: 0.000984
960: 0.001001
961: 0.000959
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963: 0.001004
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965: 0.001012
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969: 0.000991
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972: 0.001038
973: 0.000962
974: 0.001021
975: 0.000992
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977: 0.001065
978: 0.001031
979: 0.000958
980: 0.001014
981: 0.000962
982: 0.001014
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984: 0.001031
985: 0.001095
986: 0.000935
987: 0.001049
988: 0.000995
989: 0.001026
990: 0.001031
991: 0.001007
992: 0.001014
993: 0.001063
994: 0.001081
995: 0.001034
996: 0.000997
997: 0.001002
998: 0.001005
999: 0.00099
1000: 0.000997
1: 0.100016403
2: 0.099989755
3: 0.09998314
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953:0.00101
954:0.000989
955:0.001028
956:0.000973
957:0.001061
958:0.000973
959:0.001005
960:0.000959
961:0.001065
962:0.001
963:0.001059
964:0.000983
965:0.001049
966:0.000994
967:0.00101
968:0.001011
969:0.001039
970:0.000988
971:0.001009
972:0.001011
973:0.001024
974:0.001032
975:0.00103
976:0.00103
977:0.000997
978:0.000995
979:0.000993
980:0.001004
981:0.00099
982:0.001005
983:0.001053
984:0.000952
985:0.001019
986:0.001002
987:0.000972
988:0.001054
989:0.000997
990:0.001004
991:0.000997
992:0.001021
993:0.001015
994:0.001004
995:0.001044
996:0.00101
997:0.001004
998:0.000999
999:0.00104
1000:0.001044

# Set the number of random numbers to generate and the upper bound for the numbers
n <- 1000000000
x <- 10

# Generate N random numbers between 1 and X
numbers <- sample(1:x, n, replace = TRUE)

# Calculate the probability of each number
counts <- table(numbers)
total <- length(numbers)
probabilities <- counts / total

# Generate a file name based on the values of N and X
fileName <- paste0("r_", x, "_", n)

# Create the "outputs" directory if it does not exist
# if (!dir.exists("outputs")) {
#     dir.create("outputs")
# }

# Write the probabilities to a file in the "outputs" directory
file <- file(fileName, open = "w")
writeLines(paste(names(probabilities), probabilities, sep = ":"), file)
close(file)