hi I have a panel with 12 plots . All the plots have their own x and y labels
as well as titles. I want add additional labels a, b, c, d,
e,on the upper left side of each plot in the panel. Please
suggest how I can do that.
Gaurav
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My data looks like following:
cera3[i, ] batch lcl29 pdt
Untreated 3.185867 1 0 0
Untreated.4 3.185867 0 0 0
LCL29 4.357552 1 1 0
LCL29.6 3.446256 0 1 0
PDT 2.765535 1 0 1
PDT.5 3.584963
hI
I have to calculate V statistic for each row of a large dataframe (28000). I
can not use multtest package for paired wilcox test. I have been using for
loop which are. Is there a way to speed the computation with another method
like using apply or tapply?
My data set looks like this:
Hi
I have a data frame which looks like :
hs361224 hs426435 hs903411 hs205893 sPP13_2 hs792300 hs747811
2.5 0.837 -0.7684995 -0.4209555 -0.4996375 1.363161 -0.259850 -0.503650
5 1.8617705 -0.5842845 -0.3615625 -0.9784640 1.862586 2.104920
1.192305
24
I have a data frame with 25000 rows containing two columns Time and Distance.
When I plot a simple distance versus time plot, the plot is very confusing
showing no general trend because of the large data. Is there any way I can
improve the plot by lets say using moving average as in EXCEL ?
Hi I need help since I have never worked on RT PCR data before . I have 8
data files each corresponding to a single pcr run. Each file also represent
10 samples(5 cancer and 5 healthy) belonging to a unique gene. I have 7
unique genes and 1 reference (total 8 files). Can any body help me with
Unknown 31.3386 0.296
Andrej Kastrin-3 wrote:
Check out qpcR package.
Andrej
gauravbhatti wrote:
Hi I need help since I have never worked on RT PCR data before . I have
8
data files each corresponding to a single pcr run
I need some help in comparing t values avalaible from two data frames. I
have two data frames with each containing a column for t valuse
For example one data frame looks like as follows
IDlogFCt P.Value adj.P.Val
B
39 a39 -1.737037118
hi I have a matrix (10x10) and I have to perform t tests on each row by
considering first 5 elements as data set A and next 5 as data set B. This
part is easy, However after one t test on each row, I have to randomly
permute each column to get new values for each row and then perform another
values in p. this is done 100 times.
Please comment if you think there is better way.
gauravbhatti wrote:
hi I have a matrix (10x10) and I have to perform t tests on each row by
considering first 5 elements as data set A and next 5 as data set B. This
part is easy, However after one t test
Hi all can any one of you write a script for the following problem
Let X be a matrix of random normal values (mean =0; sd=1) (see rnorm()
function) having 10 columns and N=100 rows. Let the first row in the matrix
be (1,1.5,1.4,3,1.9,4,4.9,2.6,3.2,2.4). Assume that the first 5 columns of
data
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