do 'str' on your object to see if you have factors where you think you
have numerics.
What is the problem you are trying to solve?
Sent from my iPhone.
On May 23, 2010, at 17:39, "Zoppoli, Gabriele (NIH/NCI) [G]" <zoppo...@mail.nih.gov
> wrote:
Hi everybody, this is a real dummy thing.
I sorted a matrix based on a given column, and what I get is right,
until it comes to columns of negative and positive values; than,
"order" orders everything from max to min in the negative values,
and then AGAIN from max to min in the positive values!!!
Why isn't everything order from max to min, and that's it?
Thank you!!!
Attached is the txt file I use; try:
x=x[order(x[,2]),]
What I get is:
print(x)
Product A B Tissue
44 ME:MDA_MB_435 -0.1915 -0.16744 Melanoma
17 CNS:SNB_75 -0.23183 1.03945 CNS
37 LE:K_562 -0.58218 1.8581 Leukemia
43 ME:MALME_3M -0.67327 -1.33493 Melanoma
49 ME:UACC_257 -0.72431 -1.84753 Melanoma
42 ME:M14 -0.73942 -0.73904 Melanoma
40 LE:SR -0.93541 2.95346 Leukemia
25 CO:SW_620 -1.53265 -1.35446 Colon
63 RE:CAKI_1 -2.48443 0.43245 Renal
39 LE:RPMI_8226 -2.59561 -1.9448 Leukemia
26 LC:A549 -2.66221 0.71215 Lung
61 RE:A498 -2.89402 0.93287 Renal
9 BR:HS578T -2.94118 1.1217 Breast
34 LC:NCI_H522 -2.94381 0.3859 Lung
66 RE:TK_10 -2.95281 1.26245 Renal
52 OV:NCI_ADR_RES -3.04456 0.17046 Ovarian
57 OV:SK_OV_3 -3.04477 2.15405 Ovarian
53 OV:OVCAR_3 -3.0705 -0.31743 Ovarian
14 CNS:SF_295 -3.09348 -1.00095 CNS
54 OV:OVCAR_4 -3.13137 -0.47497 Ovarian
36 LE:HL_60 -3.16745 -3.16745 Leukemia
38 LE:MOLT_4 -3.20055 -1.72841 Leukemia
11 BR:MDA_MB_231 -3.24907 1.58326 Breast
59 PR:PC_3 -3.36612 1.39328 Prostate
19 CO:HCT_116 -3.39764 0.43061 Colon
12 BR:T47D -3.41228 1.13818 Breast
22 CO:HCT_15 -3.45342 0.16357 Colon
64 RE:RXF_393 -3.49615 2.59144 Renal
28 LC:HOP_62 -3.4968 0.67884 Lung
60 RE:786_0 -3.5086 1.75056 Renal
35 LE:CCRF_CEM -3.54526 -2.09262 Leukemia
29 LC:HOP_92 -3.60636 0.87116 Lung
21 CO:HCC_2998 -3.61457 -0.32362 Colon
13 CNS:SF_268 -3.63916 2.54378 CNS
20 CO:COLO205 -3.64656 0.54344 Colon
56 OV:OVCAR_8 -3.66053 -0.9594 Ovarian
24 CO:KM12 -3.68703 2.19991 Colon
55 OV:OVCAR_5 -3.7852 2.43038 Ovarian
8 BR:BT_549 -3.80239 -0.43099 Breast
15 CNS:SF_539 -3.86184 1.39114 CNS
65 RE:SN12C -3.90776 0.85244 Renal
31 LC:NCI_H23 -3.91625 -1.14955 Lung
62 RE:ACHN -3.96246 -0.62365 Renal
67 RE:UO_31 -3.99791 -1.09215 Renal
10 BR:MCF7 -4.00187 1.46303 Breast
51 OV:IGROV1 -4.02758 2.04324 Ovarian
23 CO:HT29 -4.11624 -0.02799 Colon
41 ME:LOXIMVI -4.2572 0.37259 Melanoma
32 LC:NCI_H322M -4.28534 1.66783 Lung
27 LC:EKVX -4.32847 1.66042 Lung
58 PR:DU_145 -4.33961 1.57548 Prostate
30 LC:NCI_H226 -4.37408 -0.22311 Lung
33 LC:NCI_H460 0.0042 -0.6023 Lung
18 CNS:U251 0.01263 1.66389 CNS
16 CNS:SNB_19 0.16583 0.03737 CNS
45 ME:MDA_N 0.21077 0.05502 Melanoma
50 ME:UACC_62 0.52503 0.1605 Melanoma
46 ME:SK_MEL_2 0.55255 -1.6667 Melanoma
47 ME:SK_MEL_28 1.7425 1.45266 Melanoma
48 ME:SK_MEL_5 1.74749 -1.47817 Melanoma
Gabriele Zoppoli, MD
Ph.D. Fellow, Experimental and Clinical Oncology and Hematology,
University of Genova, Genova, Italy
Guest Researcher, LMP, NCI, NIH, Bethesda MD
Work: 301-451-8575
Mobile: 301-204-5642
Email: zoppo...@mail.nih.gov
<x.txt>
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and provide commented, minimal, self-contained, reproducible code.