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...x6.5 system mips, irix6.5 status major 1 minor 5.0 year 2002 month 04 day 29 language R > test3 sj030110 sj030111 sj030112 control.ppm AFFX-DapX-M_at 216 236 227 13.3 AFFX-DapX-5_at 97 114 108 6.7 AFFX-CreX-5_at 1107 1021 1661 166.7 AFFX-BioB-5_at 595 511 772 83.3 AFFX-BioDn-3_at 3505 3059 4646 666.7 AFFX-BioB-3_at 2691 2310 3...

...data point to the same col#. Please suggest a solution. Thanks, Vasu. -------------- next part -------------- 14A_U133A_StatPairs 14A_U133A_Detection 14B_U133A_Signal 88A_U133A_Signal 88B_U133A_Signal 183A_U133A_Signal 183B_U133A_Signal AFFX-BioB-5_at 403.0 409.3 611.5 569.2 536.6 580.2 AFFX-BioB-M_at 757.3 574.4 826.7 595.3 755.2 956.0 AFFX-BioB-3_at 284.4 327.3 421.6 336.6 391.3 412.6 AFFX-BioC-5_at 2314.2 1685.3 2264.7 2204.1 2233.1 2458.4 AFFX-BioC-3_at 1574.5 1273.0 1484.6 1321.2 1474.7 1774.1 AFFX-BioDn-5_at 2333.7 1796.8 2464.5 2372.5 2095.9 2735.7 AFFX-BioDn-3_at 13673.9 11463.9 136...

...data point to the same col#. Please suggest a solution. Thanks, Vasu. -------------- next part -------------- 14A_U133A_StatPairs 14A_U133A_Detection 14B_U133A_Signal 88A_U133A_Signal 88B_U133A_Signal 183A_U133A_Signal 183B_U133A_Signal AFFX-BioB-5_at 403.0 409.3 611.5 569.2 536.6 580.2 AFFX-BioB-M_at 757.3 574.4 826.7 595.3 755.2 956.0 AFFX-BioB-3_at 284.4 327.3 421.6 336.6 391.3 412.6 AFFX-BioC-5_at 2314.2 1685.3 2264.7 2204.1 2233.1 2458.4 AFFX-BioC-3_at 1574.5 1273.0 1484.6 1321.2 1474.7 1774.1 AFFX-BioDn-5_at 2333.7 1796.8 2464.5 2372.5 2095.9 2735.7 AFFX-BioDn-3_at 13673.9 11463.9 136...

Thanks a lot, James!! The problem is fixed. On the version 1.4.0 Mac/darwin (the latest available version for this system) the function read.table (which is called from read.delim etc., too) has the bug you explained. Inserting the row nlines <- nlines+1 after lines <- c(lines, line) removes this bug. M. On Friday, February 22, 2002, at 02:33 PM, james.holtman at convergys.com

...ternal xls file. the column names left-shift one position in output file. I check with col.names() row.names(), the file is fine. How to prevent the shifting? I71 I111 I304 I307 I305 I306 I114 I72 AFFX-BioB-5_at 6.66435 6.787807 5.335962 5.250163 6.47423 5.882104 5.965109 6.591687195 AFFX-BioB-M_at 6.163227 5.965427 4.665569 2.743531 6.097244 5.77137 5.113683 6.314003982 Thanks, Johnny [[alternative HTML version deleted]]

...fferentially expressed after subjecting it to the 6 different experiments(columns 2 to 7 are experiments). Gene 14A_U133A_Detection 14B_U133A_Signal 88A_U133A_Signal 88B_U133A_Signal 183A_U133A_Signal 183B_U133A_Signal AFFX-BioB-5_at 403 409.3 611.5 569.2 536.6 580.2 AFFX-BioB-M_at 757.3 574.4 826.7 595.3 755.2 956 AFFX-BioB-3_at 284.4 327.3 421.6 336.6 391.3 412.6 AFFX-BioC-5_at 2314.2 1685.3 2264.7 2204.1 2233.1 2458.4 AFFX-BioC-3_at 1574.5 1273 1484.6 1321.2 1474.7 1774.1 AFFX-BioDn-5_at 2333.7 1796.8 2464.5 2372.5 2095.9 2735.7 AFFX-BioD...

I have a data frame which has the following data. data<-read.table("table.txt",header=TRUE) data X14A_U133A_StatPairs X14A_U133A_Detection X14B_U133A_Signal 1 AFFX-BioB-5_at 403.0 409.3 2 AFFX-BioB-M_at 757.3 574.4 3 AFFX-BioB-3_at 284.4 327.3 4 AFFX-BioC-5_at 2314.2 1685.3 5 AFFX-BioC-3_at 1574.5 1273.0 6 AFFX-BioDn-5_at 2333.7 1796.8 7 AFFX-...

Dear R user, I am trying to convert the contents of a date.frame to a matrix. Since there are negative values in the date.frame, when I use data.matrix(x, rownames.force = NA), the resulting matrix is not the same as the original one. Basically I think R treats the numbers in the date.frame as character and converts it to corresponding numerics. Any idea on this issue? Many Thanks, Hongyuan