Hello
I have problem with ts converting process.
You can see my "y. txt" file in annex.
my codes
irpf <- read.table("y.txt", skip = 1, col.names = c(" time", "irpf"))
irpf1 <- ts(irpf[, 2], start = c(1995, 1), frequency = 12)
When I try to draw my data, result is following (annex: Captura)
R is drawing with frequency of my data, I want to see my orijinal datas not
frequencies..
How can I solve this problem ?
Engin YILMAZ
t x
Ene 5.157.118
Feb 1.640.434
Mar 1.771.367
Abr 4.339.425
May 1.595.225
Jun 4.262.616
Jul 4.480.272
Ago 1.099.493
Sep 2.737.122
Oct 4.138.730
Nov 3.737.260
Dic 2.738.028
Ene 5.255.295
Feb 2.344.785
Mar 1.697.469
Abr 4.402.688
May 1.849.267
Jun 4.375.478
Jul 4.659.093
Ago 1.252.978
Sep 2.734.342
Oct 4.476.708
Nov 2.912.762
Dic 2.646.501
Ene 6.151.929
Feb 2.231.486
Mar 1.941.450
Abr 4.707.122
May 2.165.805
Jun 4.288.724
Jul 4.889.162
Ago 926.768
Sep 2.951.820
Oct 4.600.427
Nov 3.500.006
Dic 2.958.741
Ene 5.713.000
Feb 2.369.700
Mar 2.238.837
Abr 4.958.825
May 2.245.498
Jun 4.652.451
Jul 5.451.012
Ago 1.237.028
Sep 2.857.877
Oct 5.072.563
Nov 4.099.994
Dic 2.249.299
Ene 5.808.727
Feb 3.435.291
Mar 2.529.938
Abr 4.109.334
May 2.225.966
Jun 4.486.866
Jul 5.302.114
Ago 862.173
Sep 2.900.607
Oct 4.889.150
Nov 3.839.249
Dic 2.681.746
Ene 6.453.588
Feb 2.883.868
Mar 1.747.542
Abr 5.225.238
May 2.521.874
Jun 4.232.929
Jul 5.946.014
Ago 866.815
Sep 3.237.953
Oct 5.308.596
Nov 3.704.780
Dic 2.286.127
Ene 6.735.346
Feb 3.463.647
Mar 2.107.250
Abr 5.677.259
May 2.586.843
Jun 4.606.320
Jul 6.540.543
Ago 1.041.680
Sep 3.686.266
Oct 5.787.148
Nov 4.197.756
Dic 2.907.284
Ene 7.047.683
Feb 3.370.513
Mar 2.189.916
Abr 6.042.124
May 2.685.689
Jun 2.779.718
Jul 9.261.402
Ago 880.442
Sep 4.087.075
Oct 6.434.520
Nov 4.517.555
Dic 3.241.958
Ene 8.626.035
Feb 3.268.740
Mar 2.762.728
Abr 6.126.065
May 2.463.120
Jun 3.663.186
Jul 9.173.791
Ago 491.064
Sep 4.737.953
Oct 6.456.624
Nov 4.307.134
Dic 3.609.288
Ene 7.501.119
Feb 3.396.385
Mar 2.851.582
Abr 6.563.644
May 2.705.053
Jun 3.616.160
Jul 10.132.038
Ago 627.586
Sep 5.156.988
Oct 6.613.205
Nov 4.607.656
Dic 3.814.171
Ene 8.673.681
Feb 3.773.297
Mar 3.263.099
Abr 7.471.964
May 3.248.389
Jun 4.105.863
Jul 11.828.769
Ago 596.400
Sep 5.830.745
Oct 7.531.752
Nov 5.238.272
Dic 3.529.012
Ene 9.258.036
Feb 4.244.429
Mar 3.720.315
Abr 8.320.555
May 3.587.115
Jun 4.756.313
Jul 13.553.364
Ago 673.547
Sep 6.698.792
Oct 8.372.424
Nov 6.193.290
Dic 4.198.391
Ene 10.605.628
Feb 4.762.318
Mar 4.050.648
Abr 9.350.233
May 4.007.639
Jun 5.394.812
Jul 16.362.354
Ago 720.322
Sep 7.506.043
Oct 9.172.656
Nov 7.792.613
Dic 4.585.419
Ene 11.817.575
Feb 5.250.964
Mar 4.757.200
Abr 9.895.991
May 4.629.004
Jun 5.885.394
Jul 13.713.901
Ago 756.780
Sep 7.691.139
Oct 8.720.457
Nov 7.342.566
Dic 4.697.787
Ene 10.799.100
Feb 4.740.448
Mar 4.419.997
Abr 8.721.759
May 4.220.460
Jun 5.530.643
Jul 13.119.321
Ago 752.536
Sep 7.551.029
Oct 8.285.067
Nov 6.190.624
Dic 4.526.848
Ene 10.796.903
Feb 4.698.078
Mar 4.681.757
Abr 9.036.327
May 4.417.603
Jun 5.568.791
Jul 13.649.027
Ago 968.259
Sep 7.769.819
Oct 8.560.711
Nov 6.065.725
Dic 4.888.910
Ene 11.077.001
Feb 4.842.482
Mar 4.638.218
Abr 9.227.948
May 4.400.549
Jun 5.624.199
Jul 13.708.452
Ago 766.156
Sep 7.922.175
Oct 8.617.066
Nov 6.225.138
Dic 5.217.028
Ene 10.400.660
Feb 4.856.074
Mar 4.995.367
Abr 9.212.220
May 4.732.508
Jun 5.838.574
Jul 13.855.333
Ago 828.424
Sep 8.087.786
Oct 8.371.536
Nov 6.176.752
Dic 4.982.287
Ene 9.958.083
Feb 5.004.434
Mar 4.906.317
Abr 8.943.996
May 4.672.730
Jun 5.460.555
Jul 13.990.082
Ago 951.265
Sep 8.249.639
Oct 8.533.574
Nov 6.327.058
Dic 5.173.028
Ene 10.680.354
Feb 5.454.246
Mar 4.985.454
Abr 7.273.210
May 6.645.547
Jun 5.229.402
Jul 14.641.339
Ago 4.836.548
Sep 4.205.516
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