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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...

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...

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...

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...

Hi I have a data frame which looks like : hs361224 hs426435 hs903411 hs205893 sPP13_2 hs792300 hs747811 2.5 0.4444837 -0.7684995 -0.4209555 -0.4996375 1.363161 -0.259850 -0.503650 5 1.8617705 -0.5842845 -0.3615625...

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...

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...

I have looked at the package .........it won't work for me since it requies us to read files with the format : The text file must have the following structure: 1st column = names denoting genes or primer pairs 2nd column...

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...

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 ID logFC t P.Value...

Thankyou for the quick reply p <- array( 0, dim =c(5,100)) porig <- array( 0, dim =c(5,1)) x1 <- array( rnorm(990,mean=0,sd=1), dim =c(4,10)) x <- rbind(c(1,1.5,1.4,3...