I want the reshaped data to look like this.
plate.id HYBwell.id rlt1.control1
well.id rlt1.control1 well.idrlt1.disease1 well.id
rlt1.disease2
1 P1 SKOV3hyb A10.190
A2 0.210 B10.217
Hi The reshape suggestions works great on my previous data, but I am unable
to make is work on the new dataset. It actually works but only gives me the
output of single row, instead of 96 rows.
The dataset has two control groups control 1 and control 2, two disease
groups viz disease 1 and
Hi:
Is this what you were looking for?
plate.id well.id Group HYB rlt1
P1 A1 control1SKOV3hyb0.19
P1 A2 disease1SKOV3hyb0.21
P1 A3 control1SKOV3hyb0.205
P1 A4 disease1SKOV3hyb0.206
P1
Thanks for the help.
Sharad
On Mon, Sep 27, 2010 at 9:12 PM, Remko Duursma [via R]
ml-node+2716469-935075351-6...@n4.nabble.comml-node%2b2716469-935075351-6...@n4.nabble.com
wrote:
Try something like this:
dfr - read.table(textConnection(plate.id well.id Group HYB
rlt1
1
Hi:
Perhaps this might be useful:
tst - read.table(textConnection(
+plate.id well.id Group HYB rlt1
+ 1 P1 A1 Control SKOV3hyb 0.190
+ 2 P1 A2 Control SKOV3hyb 0.210
+ 3 P1 A3 Control SKOV3hyb 0.205
+ 4 P1 A4 Control SKOV3hyb 0.206
+
Hello
I have a data set like below:
plate.id well.id Group HYB rlt1
1 P1 A1 Control SKOV3hyb 0.190
2 P1 A2 Control SKOV3hyb 0.210
3 P1 A3 Control SKOV3hyb 0.205
4 P1 A4 Control SKOV3hyb 0.206
5 P1 A5 Control SKOV3hyb
Try something like this:
dfr - read.table(textConnection(plate.id well.id Group HYB
rlt1
1 P1 A1 Control SKOV3hyb 0.190
2 P1 A2 Control SKOV3hyb 0.210
3 P1 A3 Control SKOV3hyb 0.205
4 P1 A4 Control SKOV3hyb 0.206
5 P1
7 matches
Mail list logo