Description Usage Arguments Details Value Note Author(s) See Also
Create an HTML file with various illustrations of array normalization, including plots before and after normalization, and statistics about flagged spots and clones
1 2 3 4 5 6 7 8 9 | ## S3 method for class 'arrayCGH'
html.report(array.norm, array.nonorm=NULL, dir.out=".",
array.name=NULL, x="PosOrder", y=c("LogRatioNorm", "LogRatio"), chrLim=NULL,
ylim=NULL, zlim=NULL, clim=NULL, intensity=NULL, light=FALSE,
file.name="report", width=10, height=5, ...)
## Default S3 method:
html.report(spot.data, clone.data=NULL,
flag.data=NULL, quality.data=NULL, ...)
|
array.norm |
an object of type |
array.nonorm |
an optional object of type arrayCGH after a normalization step with no flags |
spot.data |
a data.frame containing spot-level informations
(e.g. |
clone.data |
a data.frame containing clone-level informations
(e.g. |
flag.data |
a data.frame containing information about flags, with
fields |
quality.data |
a data.frame containing information about quality
scores with fields |
dir.out |
absolute path of a directory where the file is generated (defaults to the current directory) |
array.name |
name or identifier of the array |
x |
a variable name from |
y |
a vector of one or two variable names to be passed to |
chrLim |
an optional variable name from |
ylim |
a numeric vector of length 2 to be passed to
|
clim |
a numeric vector of length 2 to be passed to
|
zlim |
a numeric vector of length 2 to be passed to
|
intensity |
an optional list with names c("M.var", "A.var",
"pred.var", "span"). The first 3 items specify existing variable names
from |
light |
boolean value: if (light), only the core of the html file is generated; if (!light), a complete html file is generated |
file.name |
file name of the generated report (defaults to "report") |
width |
plot width, in inches |
height |
plot height, in inches |
... |
further arguments to be passed to |
This function creates an HTML report file showing
- the array image and the genome representation before normalization
(if array.nonorm
is provided) and after normalization, and
optionally a MA-plot
- a table with information about the number of flagged spots for each
flag, and the number of remaining spots after normalization
- a table with information about various quality criteria for the
array
none
People interested in tools for array-CGH analysis can visit our web-page: http://bioinfo.curie.fr.
Pierre Neuvial, manor@curie.fr.
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