Hello,

I don't know why I am getting some errors during my analysis

I uploaded an example of my data in

https://gist.github.com/anonymous/2c69ab500bfa94d0268a

I use the following command in R to load my data

    data <- read.delim("path to your file /example.txt", header=FALSE)

however, in summary or head or other commands I look at the data, it seems alright but I cannot analysis since it gives error like `all numeric variables`. For example if you want to get the range of the example data, you will get such error.

How normally do you import, load a microarray data (with **txt format**)  (each row represents a prob and each column a sample)?

Thanks
Works perfectly for me:

```
> dat <- read.delim(file="Downloads/gist2c69ab500bfa94d0268a-ac4cd3d5b0d0764c2faae0e3fb0db8a39d75bb22/example.txt", row.names=1)
# your mistake was to set header=FALSE, and to omit 
# row.names=1 

> head(dat)
                 M1      M2      M3      M4      M5      M6      M7      M8      M9     M10     M11     M12
200645_at    0.0446  0.0744 -0.0340  0.0173  0.2280  0.0070 -0.0250  0.0644 -0.0253 -0.1230 -0.6251  0.0210
200690_at   -0.0165  0.1121 -0.0959  0.0000 -0.4595 -0.0282 -0.1617 -0.0482 -0.2611  0.0223 -0.6129  0.1961
200691_s_at  0.0554 -0.0689 -0.0852  0.0702  0.0823  0.0361 -0.0306 -0.0076 -0.0340 -0.0198 -0.1823 -0.0681
200692_s_at  0.0000 -0.0505 -0.0508 -0.0159 -0.3041 -0.0684 -0.0644 -0.0175  0.0503  0.0546 -0.2141 -0.0216
200693_at    0.0608  0.0601  0.0115  0.0744 -0.0232 -0.1095 -0.0416 -0.0499 -0.0515  0.0303 -0.1153  0.0824
200694_s_at  0.0424  0.0957  0.0758 -0.0387 -0.0517 -0.0207  0.0328 -0.1392  0.0140 -0.1476  0.1382  0.0113
                M13     M14     M15     M16     M17     M18
200645_at    0.1095  0.1527  0.0261 -0.2107 -0.0196 -0.2316
200690_at    0.2119  0.0122 -0.5495  0.1518 -0.2409  0.1610
200691_s_at  0.1219 -0.1615 -0.0729 -0.0696  0.0042  0.1239
200692_s_at  0.0440 -0.0811  0.0964  0.0211 -0.0325  0.1810
200693_at   -0.0036  0.0575  0.0427  0.1104 -0.0216  0.0278
200694_s_at  0.2247  0.1489  0.0196  0.0883 -0.1848  0.1989

> range(dat)
[1] -20.091  25.652
```