C D F G I L M N O P Q R S T V W
c.func | Internal sma functions |
c.min | Internal sma functions |
chen.func.rotate | Internal sma functions |
chen.plot.rotate | Internal sma functions |
chen.poly | Internal sma functions |
chur.em.func | Internal sma functions |
chur.M.to.e.func | Internal sma functions |
chur.norm.func | Internal sma functions |
chur.pdf | Internal sma functions |
chur.wrapper.func | Internal sma functions |
cl | Internal sma functions |
cor.na | Basic Statistical Functions for Handling Missing Values |
dc.min | Internal sma functions |
draw.image.func | Spatial Representation of Microarray Spot Statistics |
func.em | Internal sma functions |
givelim | Internal sma functions |
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 |
in.func | Internal sma functions |
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.read.exp | Reads the Output of the Computed Statistics |
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 |
lf.func | Internal sma functions |
lod2 | Internal sma functions |
lods.func | Internal sma functions |
log.na | Basic Statistical Functions for Handling Missing Values |
ls.variance | Internal sma functions |
ma.func | Calculation of log Intensity Ratios and Average log Intensities |
mean.na | Basic Statistical Functions for Handling Missing Values |
mouse.data | Internal sma functions |
mouse.gnames | Mouse Gene Expression Data from cDNA microarray |
mouse.lratio | Internal sma functions |
mouse.setup | Internal sma functions |
mouse.t2 | Internal sma functions |
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 |
newton.plot.rotate | Internal sma functions |
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 |
nploglik | Internal sma functions |
nploglikderiv | Internal sma functions |
order.na | Basic Statistical Functions for Handling Missing Values |
plot.bayesian | Plots lodscore vs effect estimate (the output of stat.bayesian() or stat.bay.est()). |
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.print.tip.lowess | M vs. A Plot with print tip lowess lines |
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.single.slide | M vs. A Plot |
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 |
setup.bayesian | Internal sma functions |
spatial.func | Spatial Representation of Microarray Spot Statistics |
sq.func | Internal sma functions |
sq2.func | Internal sma functions |
stat.bay.est | Calculates an Odds Ratio for Each Gene in a Multi-slide Microarray Experiment. |
stat.bayesian | Calculates an Odds Ratio of Each Gene in a Multi-slide microarray Experiment |
stat.bwss | Between and Within Group Sum of Squares Calculation |
stat.Chen | Apply Chen's single slide method |
stat.Chen.ma | Internal sma functions |
stat.ChurSap | Apply Sapir and Churchills single slide method |
stat.ChurSap.ma | Internal sma functions |
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.Newton.ma | Internal sma functions |
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 |
svb.func | Plot of Signal vs. Background |
t2stat.func | Two-sample t-statistics |
va.func | Internal sma functions |
va2.func | Internal sma functions |
var.na | Basic Statistical Functions for Handling Missing Values |
write.spot | Writing in Data Generated by the Image Analysis Package Spot |