Help using Jpanel

Hi, can you help me how to display components in a panel?
I have a container, a scroll panel on the left and a panel on the right. The scroll panel contains a tree. I want that when i click a leaf on a tree, some components would appear on the panel at the right. Each leaf has different components. Can anybody help me how to do this?
I have here a sample view. Sorry about this, i want to paste the picture of my gui but i can't paste it here.
+Fruit            |    |
-Apple | |
-Orange | |
-Melon | //unique components will be displayed here |
-Mango | //for each leaf |
+sports          |                                                                  |
-swimming | |
-basketball | |
-soccer | |

Do you know what caused this? You didn't copy the code from the tree demo properly. Compare your code with the "working" code from the tutorial to figure out what you did wrong.
We are not mind readers. We can't guess what you might have done wrong.

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    0.83545 0.6457 -.43742 4.168700 1.42760
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    0.89542 0.6761 -.39141 4.570880 1.51970
    0.90286 0.6918 -.36845 4.786300 1.56575
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    0.93310 0.7244 -.32241 5.248080 1.65786
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    0.98382 0.7586 -.27628 5.754400 1.74996
    1.00700 0.7762 -.25334 6.025600 1.79601
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    1.06588 0.8128 -.20727 6.606940 1.88812
    1.09747 0.8318 -.18416 6.918310 1.93417
    1.12372 0.8511 -.16122 7.244360 1.98022
    1.14197 0.8710 -.13811 7.585780 2.02627
    1.17310 0.8912 -.11518 7.943290 2.07232
    1.19864 0.9120 -.09211 8.317640 2.11837
    1.21004 0.9333 -.06902 8.709640 2.16443
    1.23936 0.9550 -.04604 9.120110 2.21048
    1.29665 0.9772 -.02306 9.549930 2.25653
    1.35156 1.0000 0 10.000000 2.30258
    1.35588 1.0233 .02303 10.471300 2.34863
    1.35028 1.0471 .04602 10.964800 2.39469
    1.45814 1.0715 .06905 11.481500 2.44073
    1.58646 1.0965 .09212 12.022600 2.48678
    1.65768 1.1220 .11511 12.589300 2.53284
    1.68015 1.1482 .13819 13.182600 2.57889
    1.66828 1.1749 .16118 13.803800 2.62494
    1.63280 1.2023 .18423 14.454400 2.67099
    1.57554 1.2303 .20725 15.135600 2.71704
    1.68957 1.2589 .23023 15.848900 2.76310
    1.77789 1.2882 .25324 16.595900 2.80915
    1.83007 1.3183 .27634 17.378000 2.85520
    1.83569 1.3490 .29936 18.197000 2.90125
    1.81752 1.3804 .32237 19.054600 2.94730
    1.82825 1.4125 .34536 19.952600 2.99335
    1.90654 1.4454 .36838 20.893000 3.03941
    2.01562 1.4791 .39143 21.877600 3.08546
    2.12612 1.5136 .41449 22.908700 3.13151
    2.17426 1.5488 .43748 23.988300 3.17756
    2.08774 1.5849 .46052 25.000000 3.21887
    2.08716 1.6218 .48353 26.302700 3.26967
    2.20898 1.6596 .50657 27.542300 3.31572
    2.17779 1.6982 .52956 28.840300 3.36177
    2.13162 1.7378 .55261 30.199500 3.40782
    2.14360 1.7783 .57565 31.622800 3.45387
    2.08715 1.8197 .59867 33.113100 3.49992
    2.13486 1.8621 .62170 34.673700 3.54598
    2.17637 1.9055 .64474 36.307800 3.59203
    2.18294 1.9498 .66772 38.019000 3.63808
    2.13124 1.9953 .69079 39.810700 3.68413
    2.08390 2.0417 .71378 41.687000 3.73018
    2.05038 2.0893 .73682 43.651600 3.77623
    2.03115 2.1380 .75987 45.708800 3.82229
    2.00959 2.1878 .78289 47.863000 3.86834
    1.98717 2.2387 .80589
    1.97323 2.2909 .82894
    1.95447 2.3442 .85194
    1.92595 2.3988 .87496
    1.90616 2.4547 .89800
    1.89283 2.5119 .92103
    1.85890 2.5704 .94406
    1.83043 2.6303 .96709
    1.85724 2.6915 .99009
    1.88505 2.7542 1.01312
    1.77733 2.8184 1.03616
    1.69180 2.8840 1.05917
    1.76313 2.9512 1.08221
    1.78077 3.0199 1.10522
    1.74368 3.0903 1.12826
    1.76858 3.1623 1.15129
    1.91199 3.2359 1.17430
    1.89218 3.3113 1.19734
    1.85754 3.3884 1.22035
    1.84201 3.4674 1.24340
    1.72153 3.5481 1.26641
    1.73611 3.6308 1.28945
    1.78069 3.7153 1.31245
    1.76714 3.8019 1.33550
    1.74338 3.8904 1.35851
    1.72076 3.9811 1.38155
    1.76225 4.0738 1.40457
    1.81493 4.1687 1.42760
    1.85171 4.2658 1.45062
    1.80727 4.3651 1.47364
    1.63550 4.4668 1.49667
    1.64390 4.5709 1.51971
    1.63947 4.6773 1.54272
    1.76661 4.7863 1.56575
    1.75548 4.8978 1.58878
    1.68376 5.0119 1.61181
    1.59784 5.1286 1.63483
    1.65352 5.2481 1.65786
    1.68904 5.3703 1.68088
    1.67658 5.4954 1.70391
    1.58422 5.6234 1.72693
    1.57403 5.7544 1.74996
    1.59865 5.8884 1.77298
    1.60265 6.0256 1.79601
    1.57255 6.1659 1.81903
    1.56872 6.3096 1.84207
    1.57285 6.4565 1.86508
    1.58116 6.6069 1.88811
    1.58493 6.7608 1.91114
    1.58029 6.9183 1.93417
    1.55489 7.0794 1.95718
    1.48551 7.2443 1.98021
    1.42415 7.4131 2.00324
    1.39205 7.5858 2.02627
    1.38055 7.7625 2.04930
    1.37548 7.9433 2.07232
    1.35374 8.1283 2.09535
    1.32928 8.3176 2.11837
    1.32623 8.5114 2.14140
    1.27869 8.7096 2.16442
    1.20828 8.9125 2.18745
    1.17138 9.1201 2.21048
    1.17550 9.3325 2.23350
    1.15527 9.5499 2.25653
    1.11919 9.7723 2.27955
    1.09127 10.0000 2.30258
    1.00977 10.2329 2.32560
    1.02664 10.4713 2.34863
    1.03375 10.7152 2.37166
    1.01483 10.9648 2.39469
    0.96235 11.2202 2.41771
    0.91432 11.4815 2.44073
    0.91424 11.7489 2.46375
    0.93165 12.0226 2.48678
    0.96171 12.3027 2.50981
    0.97677 12.5892 2.53283
    0.96434 12.8825 2.55586
    0.93766 13.1825 2.57889
    0.91964 13.4896 2.60191
    0.90807 13.8038 2.62494
    0.89788 14.1253 2.64796
    0.88560 14.4544 2.67099
    0.87609 14.7910 2.69401
    0.87397 15.1356 2.71704
    0.87727 15.4881 2.74007
    0.88753 15.8489 2.76310
    0.90663 16.2181 2.78612
    0.93287 16.5958 2.80914
    0.94922 16.9824 2.83217
    0.95826 17.3780 2.85520
    0.94872 17.7827 2.87822
    0.95501 18.1970 2.90125
    0.94370 18.6208 2.92427
    0.91786 19.0545 2.94730
    0.87897 19.4984 2.97033
    0.83182 19.9526 2.99335
    0.82762 20.4173 3.01638
    0.85347 20.8929 3.03940
    0.86560 21.3796 3.06243
    0.88492 21.8775 3.08545
    0.89277 22.3871 3.10848
    0.89428 22.9086 3.13151
    0.87937 23.4422 3.15453
    0.86698 23.9883 3.17756
    0.85060 24.5470 3.20058
    0.83791 25.1188 3.22361
    0.83129 25.7039 3.24664
    0.82787 26.3026 3.26966
    0.82560 26.9153 3.29269
    0.82381 27.5422 3.31571
    0.82228 28.1837 3.33874
    0.82094 28.8402 3.36177
    0.81973 29.5120 3.38479
    0.81863 30.1994 3.40782
    0.81763 30.9028 3.43084
    0.81680 31.6227 3.45387
    0.81619 32.3593 3.47690
    0.81561 33.1130 3.49992
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    0.81455 34.6736 3.54597
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    0.81274 38.0188 3.63808
    0.81235 38.9044 3.66110
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    0.81096 42.6578 3.75321
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    0.81036 44.6682 3.79926
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    FN:  the freq values I need to use
    LFN:  the log of the freq values I need to use
    I would now like to create a file that has two columns:  the first being the FN column (frequencies needed) and the second being the acceleration value that goes w/ that frequency using a semi log interpolation.  In essence, look at the LFN column, go to the closest corresponding LFG and interpolate to find the acc that would go w/ the LFN column.

    thanks...another ?  Suppose I have the following file:
    Freq PSD
    0 1.48949E-08
    0.024414063 7.29445E-05
    0.048828125 0.00035897
    0.073242188 0.000250713
    0.09765625 0.000421121
    0.122070313 0.004537666
    0.146484375 0.012490833
    0.170898438 0.016910983
    0.1953125 0.012997485
    0.219726563 0.005330209
    0.244140625 0.000944883
    0.268554688 0.002047857
    0.29296875 0.007425774
    0.317382813 0.015317194
    0.341796875 0.02239152
    0.366210938 0.024547514
    0.390625 0.022855976
    0.415039063 0.023574201
    0.439453125 0.027185406
    0.463867188 0.025474563
    0.48828125 0.015170239
    0.512695313 0.004639872
    0.537109375 0.00303077
    0.561523438 0.011653888
    0.5859375 0.025489397
    0.610351563 0.036556284
    0.634765625 0.040271548
    0.659179688 0.040438497
    0.68359375 0.041203584
    0.708007813 0.03864312
    0.732421875 0.02912489
    0.756835938 0.017838081
    0.78125 0.01102319
    0.805664063 0.008213878
    0.830078125 0.00612728
    0.854492188 0.003158635
    0.87890625 0.00055528
    0.903320313 0.003230662
    0.927734375 0.015962451
    0.952148438 0.038356147
    0.9765625 0.065970027
    1.000976563 0.090864553
    1.025390625 0.100140518
    1.049804688 0.084746594
    1.07421875 0.051924022
    1.098632813 0.020593216
    1.123046875 0.004491316
    1.147460938 0.003895958
    1.171875 0.009846116
    1.196289063 0.012964832
    1.220703125 0.010733054
    1.245117188 0.007682353
    1.26953125 0.008926689
    1.293945313 0.015327938
    1.318359375 0.024457867
    1.342773438 0.033450125
    1.3671875 0.040046021
    1.391601563 0.042819916
    1.416015625 0.042604423
    1.440429688 0.04294279
    1.46484375 0.046753294
    1.489257813 0.053294518
    1.513671875 0.060022002
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    1.611328125 0.052784721
    1.635742188 0.038474711
    1.66015625 0.024007566
    1.684570313 0.013400787
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    1.7578125 0.031700065
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    1.953125 0.009370435
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    2.099609375 0.005424788
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    2.221679688 0.004032346
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    3.002929688 0.008000885
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    3.125 0.011515669
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    4.58984375 9.02602E-05
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    4.663085938 7.17454E-05
    4.6875 9.7085E-05
    4.711914063 0.000170962
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    5.029296875 0.004834947
    5.053710938 0.008537774
    5.078125 0.014408232
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