Statistics for Microarray Analysis

cor.na	Basic Statistical Functions for Handling Missing Values
draw.image.func	Spatial Representation of Microarray Spot Statistics
id2image	Converting an id tag to a Set of Image Coordinates and Vice Versa
image2id	Converting an id tag to a Set of Image Coordinates and Vice Versa
init.addinfo	Adding Information to a Data Structure for Multi-slide Microarray Experiments
init.ctl.index	Generates co-ordinates of spots.
init.data	Creating a Data Structure for Multi-slide Microarray Experiments
init.grid	Initialization of Grid Parameters
init.name.exp	Set and Read the Names of Experimental Data.
init.names	Set and Read the Names of Experimental Data.
init.read.exp	Reads the Output of the Computed Statistics
init.read.spot	Reading in Data Generated by the Image Analysis Package Spot
init.show.exp	Set and Read the Names of Experimental Data.
is.even	Determining if a Value is Odd or Even
is.odd	Determining if a Value is Odd or Even
length.na	Basic Statistical Functions for Handling Missing Values
log.na	Basic Statistical Functions for Handling Missing Values
ma.func	Calculation of log Intensity Ratios and Average log Intensities
mean.na	Basic Statistical Functions for Handling Missing Values
mouse.gnames	Mouse Gene Expression Data from cDNA microarray
mouse1	Mouse Gene Expression Data from cDNA microarray
mouse2	Mouse Gene Expression Data from cDNA microarray
mouse3	Mouse Gene Expression Data from cDNA microarray
mouse4	Mouse Gene Expression Data from cDNA microarray
mouse5	Mouse Gene Expression Data from cDNA microarray
mouse6	Mouse Gene Expression Data from cDNA microarray
MouseArray	Mouse Gene Expression Data from cDNA microarray
na	Basic Statistical Functions for Handling Missing Values
norm.l.func	Calculation of log Intensity Ratios and Average log Intensities
norm.pin.func	Calculation of log Intensity Ratios and Average log Intensities
norm.scale.func	Calculation of log Intensity Ratios and Average log Intensities
order.na	Basic Statistical Functions for Handling Missing Values
plot.confband.lines	Adding Lines Satisfying a Confidence Criterion to the Current M vs A Plot
plot.confband.points	Highlights a Set of Points on the Current M vs A Plot
plot.confband.text	Add Selected Text to an M vs A Plot
plot.cor	Red and Green Color Image of Correlation Matrix
plot.mat	Red and Green Color Image of Data Matrix
plot.mva	M vs. A Plot
plot.qq	Histogram and Normal Quantile-Quantile plot
plot.qqline	Add Line Going Through the Quantiles of a Q-Q Plot
plot.scale.box	Box plots for microarray
plot.smooth.line	Adding Lowess Lines to Current Plot
plot.spatial	Spatial Representation of Microarray Spot Statistics
plot.svb	Plot of Signal vs. Background
plot.t2	Diagnostic Plots for Two-Sample t-statistics
prod.na	Basic Statistical Functions for Handling Missing Values
quantile.na	Basic Statistical Functions for Handling Missing Values
read.genepix	Reading in Data Generated by the Image Analysis Package GenePix.
read.spot	Reading in Data Generated by the Image Analysis Package Spot
rgcolors.func	Red and Green Color Specification
scale.na	Basic Statistical Functions for Handling Missing Values
spatial.func	Spatial Representation of Microarray Spot Statistics
stat.bwss	Between and Within Group Sum of Squares Calculation
stat.Chen	Apply Chen's single slide method
stat.ChurSap	Apply Sapir and Churchills single slide method
stat.diag.da	Diagonal Discriminant Analysis
stat.gnames	Sort Genes According to the Value of a Statistic
stat.ma	Calculation of log Intensity Ratios and Average log Intensities
stat.Newton	Apply Newtons single slide method
stat.norm.exp	Normalization of log Intensity Ratios across slides / experiments.
stat.t2	Two-sample t-statistics
sum.na	Basic Statistical Functions for Handling Missing Values
t2stat.func	Two-sample t-statistics
var.na	Basic Statistical Functions for Handling Missing Values
write.spot	Writing in Data Generated by the Image Analysis Package Spot