为什么dput存储的数据多于显示的数据?

时间:2015-04-20 06:15:34

标签: r

我有以下数据(经过一些预处理后)。

> dat
                                          GO               ProbeGene        foo        bar        aux
150                      signal transduction      1440803_x_at Tacr3 -0.7071068 -0.7071068  1.4142136
152                      signal transduction        1424896_at Gpr85 -0.7071068 -0.7071068  1.4142136
74                         metabolic process         1448815_at Ogg1 -0.7071068 -0.7071068  1.4142136
61                         metabolic process        1434670_at Kif5a -0.7071068 -0.7071068  1.4142136
101                        metabolic process 1442017_at LOC101056574 -0.7071068 -0.7071068  1.4142136
113 negative regulation of apoptotic process        1419282_at Ccl12 -0.7071068 -0.7071068  1.4142136
183                      signal transduction       1440681_at Chrna7 -0.7071068 -0.7071068  1.4142136
190                      signal transduction        1456989_at Oxgr1 -0.7071068 -0.7071068  1.4142136
50                         apoptotic process        1451338_at Nisch  1.4124753 -0.6455325 -0.7669428
96                         metabolic process        1456300_at Ilvbl -0.7071068 -0.7071068  1.4142136
197                      signal transduction       1460657_at Wnt10a -0.7071068 -0.7071068  1.4142136
127 negative regulation of apoptotic process        1416787_at Acvr1 -0.7071068 -0.7071068  1.4142136
35                         apoptotic process        1454721_at Arel1  1.4136474 -0.7414760 -0.6721714
109 negative regulation of apoptotic process         1457580_at Chd8 -0.7071068 -0.7071068  1.4142136
68                         metabolic process        1440374_at Pde1c -0.7071068 -0.7071068  1.4142136
69                         metabolic process         1457827_at Arsj -0.7071068 -0.7071068  1.4142136
45                         apoptotic process       1418835_at Phlda1  1.4129724 -0.6551854 -0.7577870
135 positive regulation of apoptotic process          1423240_at Src -0.7071068 -0.7071068  1.4142136
75                         metabolic process          1448821_at Tyr -0.7071068 -0.7071068  1.4142136
191                      signal transduction        1434186_at Lpar4 -0.7071068 -0.7071068  1.4142136

请注意,它只包含20行。 现在,当我尝试使用dput时使用以下命令:

dput(dat)

它显示了上面的更多条目。

structure(list(GO = structure(c(9L, 9L, 6L, 6L, 6L, 7L, 9L, 9L, 
2L, 6L, 9L, 7L, 2L, 7L, 6L, 6L, 2L, 8L, 6L, 9L), .Label = c("", 
"apoptotic process", "cell surface receptor signaling pathway", 
"innate immune response", "iron ion homeostasis", "metabolic process", 
"negative regulation of apoptotic process", "positive regulation of apoptotic process", 
"signal transduction"), class = "factor"), ProbeGene = structure(c(3597L, 
1748L, 4073L, 2873L, 3648L, 795L, 3589L, 5141L, 4500L, 5084L, 
5360L, 236L, 4879L, 5172L, 3576L, 5196L, 687L, 1436L, 4076L, 
2792L), .Label = c("", "1415673_at Psph", "1415677_at Dhrs1", 
"1415683_at Nmt1", "1415684_at Atg5", "1415686_at Rab14", "1415688_at Ube2g1", 
"1415702_a_at Ctbp1", "1415724_a_at Cdc42", "1415725_at Rrn3", 
"1415729_at Pdpk1", "1415732_at Abhd16a", "1415734_at Rab7", 
"1415742_at Aup1", "1415747_s_at Riok3", "1415752_at BC031181", 
"1415755_a_at Ube2v1", "1415759_a_at Lamtor5", "1415768_a_at Ube2r2", 
"1415769_at Itch", "1415776_at Aldh3a2", "1415777_at Pnliprp1", 
.....
... MANY MORE....

我们如何使用dput一直存储数据?

0 个答案:

没有答案