gridcheck: Plot grid-by-grid data comparison for arrays
In maanova: Tools for analyzing Micro Array experiments

Description Usage Arguments Note Author(s) Examples

This function is used to check microarray data quality. It can check the data within the same array or cross different arrays.

Normally, on one array, the intensity data for both channels (Cy5 and Cy3) should be highly correlated (also apparent on the RI plot). The intensity data for the same sample on different arrays should be highly correlated too. Normally if an error happened in gridding, only a few blocks will be gridded. This function does the scatter plot on a grid basis to check the quality of hybridization and gridding.

If you only provide array1 (either an integer or a vector), it will do grid check within the same array, that is, for each slide, there will be one scatter plot for log2(Red) versus log2(Green) for each grid. If you provide array1 and array2 (both need to be one integer), it will check the data for the same sample (sample ID information is in experimental design) for these two arrays. If there's no common sample on these two arrays, the function will report an error.

In either case, you should see a nearly linear curve in all plots. If there were errors in hybridization and/or gridding, some of the plots will look messy. Then you have to check if something wrong happened, e.g., miss labeling, wrong gridding, etc.

If you don't have grid information for the data, this function will be unavailable.

Note that this function only works for 2-dye array.

1 2	gridcheck(rawdata, array1, array2, highlight.flag = TRUE, flag.color = "Red", margin = c(3.1, 3.1, 3.1, 1.1))

`rawdata`	An object of class `madata`.
`array1`	A list of array numbers for which you want to do grid checking. All arrays will be checked by default. If you want to compare the same sample across arrays, this parameter must be an integer to indicate the first array number.
`array2`	The second array number if you want to do cross array comparisons.
`highlight.flag`	A logical parameter to indicate whether to highlight the bad spot or not.
`flag.color`	The color for bad spot; default is red.
`margin`	A numerical vector of the form c(bottom, left, top, right) which gives the lines of the margin to be specified on the four sides of the plot. Read `par` for details.

This function will plot one figure for each array. So if you have many arrays, there will be many figures generated.

Hao Wu

## Not run: 
# load in data
data(kidney)
# grid check on the first arrays
gridcheck(kidney.raw, array1=1, margin=c(1,1,1,1))
graphics.off()
# grid check array 1 versus array 2
gridcheck(kidney.raw, array1=1, array2=2)
graphics.off()

## End(Not run)