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文件名:  test.zip
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本附件包括:
  • test.txt
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请教如何用R读取无规律的文本文件

请问如何读取下面文件:
我其实只需要最后两行里面的4个数据,想把它们保存在一个向量或矩阵里面,因为有很多类似文件需要读取,但是每个文件中的行数均不一样,不知道如何提取需要的数据。还请达人指点,谢谢!

# 3PL estimation for single group
# Write output to log file
output -log_file CC_100.log

#The priors used in BILOG
options -default_prior_b {normal 0 2}
options -default_prior_a {lognormal 0.0 0.5}
options -default_prior_c {beta 6 16 0.0 1.0}

# the items to be modeled
allocate_items_dist 60 -num_groups 2

options -max_iter_optimize 2000

# Read examinee item responses from file
read_examinees Y_100.dat {@2 60i1} {i1}

# Compute starting values for item parameter estimates
starting_values_dichotomous

# Perform EM iterations for computing item parameter estimates.
# Maximum of 50 EM iterations.
EM_steps -max_iter 2000

print -latent_dist_moments

# Print item parameter estimates
write_item_param CC_100.par
# end of run
release_items_dist
----------------------------------------------------------------------

Number of items: 60
Number of latent variable points: 40
Number of examinee groups: 2

Default prior for a-parameters:
lognormalMean: 0.000 s.d. 0.500
Default prior for b-parameters:
normalMean: 0.000 s.d. 2.000
Default prior for c-parameters:
betaa: 6.000 b: 16.000lower limit: 0.000 upper limit: 1.000

Read 3500 examinee records from file Y_100.dat

EM iterations
(iteration: parameter criterion, dist criterion, marginal posterior mode)
1: 0.3330170.983328-65310.6154
2: 0.0767730.098140-65295.6751
3: 0.0291090.047026-65290.6117
4: 0.0160080.035879-65287.7342
5: 0.0141510.027880-65285.8887
6: 0.0125740.021876-65284.6163
7: 0.0108980.018541-65283.6848
8: 0.0093290.016498-65282.9670
9: 0.0079440.014886-65282.3900
10: 0.0067590.013744-65281.9099
11: 0.0057640.013076-65281.4993
12: 0.0049340.012372-65281.1402
13: 0.0042430.011651-65280.8206
14: 0.0036680.010931-65280.5319
15: 0.0032030.010226-65280.2681
16: 0.0027840.009545-65280.0246
17: 0.0024400.009030-65279.7980
18: 0.0021490.008690-65279.5857
19: 0.0019010.008387-65279.3856
20: 0.0018560.008113-65279.1961
21: 0.0018520.007865-65279.0159
22: 0.0018450.007636-65278.8440
23: 0.0018350.007424-65278.6795
24: 0.0018220.007236-65278.5217
25: 0.0018080.007124-65278.3700
26: 0.0017980.007018-65278.2238
27: 0.0017880.006917-65278.0829
28: 0.0017760.006820-65277.9467
29: 0.0017630.006726-65277.8151
30: 0.0017490.006634-65277.6876
31: 0.0017340.006545-65277.5641
32: 0.0017190.006457-65277.4444
33: 0.0017030.006371-65277.3282
34: 0.0016870.006286-65277.2155
35: 0.0016700.006201-65277.1059
36: 0.0016530.006118-65276.9995
37: 0.0016360.006034-65276.8960
38: 0.0016190.005952-65276.7953
39: 0.0016020.005869-65276.6974
40: 0.0015850.005787-65276.6021
41: 0.0015680.005705-65276.5093
42: 0.0015500.005624-65276.4189
43: 0.0015330.005559-65276.3309
44: 0.0015160.005550-65276.2451
45: 0.0014990.005543-65276.1615
46: 0.0014820.005537-65276.0801
47: 0.0014630.005532-65276.0007
48: 0.0014450.005528-65275.9233
49: 0.0014260.005525-65275.8478
50: 0.0014080.005523-65275.7741
51: 0.0013900.005521-65275.7023
52: 0.0013720.005519-65275.6322
53: 0.0013540.005518-65275.5637
54: 0.0013390.005517-65275.4970
55: 0.0013240.005508-65275.4318
56: 0.0013090.005477-65275.3682
57: 0.0012940.005446-65275.3061
58: 0.0012790.005415-65275.2454
59: 0.0012650.005384-65275.1862
60: 0.0012510.005354-65275.1283
61: 0.0012360.005323-65275.0718
62: 0.0012220.005292-65275.0165
63: 0.0012090.005261-65274.9626
64: 0.0011950.005230-65274.9098
65: 0.0011810.005199-65274.8583
66: 0.0011680.005167-65274.8079
67: 0.0011550.005136-65274.7587
68: 0.0011410.005104-65274.7106
69: 0.0011290.005073-65274.6635
70: 0.0011160.005041-65274.6175
71: 0.0011030.005009-65274.5724
72: 0.0010900.004976-65274.5284
73: 0.0010780.004944-65274.4854
74: 0.0010660.004912-65274.4432
75: 0.0010530.004879-65274.4020
76: 0.0010400.004846-65274.3617
77: 0.0010270.004814-65274.3222
78: 0.0010140.004781-65274.2836
79: 0.0010020.004748-65274.2458
80: 0.0009890.004715-65274.2088

Moments of Latent Variable Distributions (group 1, 2, etc)
Mean: -0.000000 0.901525
s.d.: 0.999646 1.427310


我其实只需要最后两行里面的4个数据,想把它们保存在一个向量或矩阵里面,因为有很多类似文件需要读取,但是每个文件中的行数均不一样,不知道如何提取需要的数据。还请达人指点,谢谢!这个文件也上传了附件。


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