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@@ -20,7 +20,8 @@ Imports: | |
rgl, | ||
dplyr, | ||
nabor, | ||
xml2 | ||
xml2, | ||
grDevices | ||
Suggests: | ||
testthat | ||
Remotes: jefferis/nat | ||
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#' Read a CATMAID selection file | ||
#' | ||
#' @param f Path to the \code{.json} file saved by CATMAID | ||
#' @param readNeurons Whether or not to read the neurons listed in the selection | ||
#' file | ||
#' @param getNames Whether to fetch the names of the neurons (default | ||
#' \code{TRUE}, ignored if neurons are being fetched) | ||
#' @param ... Connection parameters passed to \code{read.neurons.catmaid} | ||
#' @return A \code{data.frame} containing the selection information or (if | ||
#' \code{readNeurons=TRUE}) a \code{\link[nat]{neuronlist}} containing this | ||
#' information in the attached metadata. The columns will be \itemize{ | ||
#' | ||
#' \item{skid} The numeric skeleton id | ||
#' | ||
#' \item{color} The colour of the selected neuron in catmaid | ||
#' | ||
#' \item{opacity} The opacity (alpha value) of the neuron name | ||
#' | ||
#' \item{name} Optionally the name of the neuron | ||
#' | ||
#' } | ||
#' @export | ||
#' @examples | ||
#' f=system.file('catmaid-skeletons.json', package = 'catmaid') | ||
#' read_catmaid_selection(f, getNames=FALSE) | ||
#' \dontrun{ | ||
#' # read in the neurons for the selection | ||
#' x=read_catmaid_selection(f, readNeurons=TRUE) | ||
#' # plot using the CATMAID colour specifications | ||
#' plot3d(x, col=color) | ||
#' } | ||
#' @seealso \code{\link{write_catmaid_selection}} | ||
read_catmaid_selection <- function(f, readNeurons=FALSE, getNames=TRUE, ...) { | ||
j=jsonlite::read_json(f, simplifyVector = TRUE) | ||
colnames(j)[colnames(j)=='skeleton_id']='skid' | ||
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if(readNeurons) { | ||
x=read.neurons.catmaid(j$skid, OmitFailures = T, ...) | ||
m=merge(x[,], j, by='skid') | ||
rownames(m)=names(x) | ||
x[,]=m | ||
x | ||
} else { | ||
if(getNames) | ||
j$name=catmaid_get_neuronnames(j$skid, ...) | ||
class(j)=c(class(j),'catmaid_view') | ||
j | ||
} | ||
} | ||
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#' Make a CATMAID selection file based on neuronlist or skids | ||
#' | ||
#' @param x A neuronlist, data.frame or vector of skids | ||
#' @param f Path to output file (usually ends in .json) | ||
#' @param color Optional vector of colours in any format understood by col2rgb | ||
#' @param opacity Optional vector of opacities (alpha values) in range 0-1 | ||
#' @param ... Additional arguments passed to \code{\link[jsonlite]{toJSON}} | ||
#' | ||
#' @export | ||
#' @seealso \code{\link{read_catmaid_selection}} | ||
#' @examples | ||
#' \dontrun{ | ||
#' pns=read.neurons.catmaid("annotation:^PN$") | ||
#' # extract the glomerulus from the name | ||
#' pns[, 'glomerulus'] = stringr::str_match(pns[, 'name'], | ||
#' ".*glomerulus ([A-z0-9]+) .*")[, 2] | ||
#' pns[, 'glomerulus']=addNA(factor(pns[, 'glomerulus'])) | ||
#' # get the same colours that nat would normally use in a plot | ||
#' plotres=plot3d(pns, col=glomerulus) | ||
#' cols=attr(plotres,'df')$col | ||
#' # write out selection file with those colours | ||
#' write_catmaid_selection(pns, f='pns-by-glom.json', color=cols) | ||
#' } | ||
write_catmaid_selection <- function(x, f, color=NULL, opacity=NULL, ...) { | ||
if(is.neuronlist(x)) | ||
x=as.data.frame(x) | ||
if(is.data.frame(x)){ | ||
df=x | ||
x=df$skid | ||
# see if the data.frame has colour or opacity information if these are | ||
# missing | ||
if(is.null(color)) { | ||
colcol=na.omit(match(c("colour", "color", "col"), colnames(df))) | ||
if(any(is.finite(colcol))) | ||
color=df[[colcol[1]]] | ||
} | ||
if(is.null(opacity)) { | ||
opac_col=na.omit(match(c("opacity","alpha"), colnames(df))) | ||
if(any(is.finite(opac_col))) | ||
opacity=df[[opac_col[1]]] | ||
} | ||
} | ||
df=data.frame(skeleton_id=x) | ||
if(length(color)) | ||
df$color=normalise_colours(color) | ||
if(length(opacity)) | ||
df$opacity=opacity | ||
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json=jsonlite::toJSON(df, pretty=TRUE, ...) | ||
json=gsub(" ", " ", json, fixed = T) | ||
writeLines(json, f) | ||
} | ||
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# will take any unitary colour specification ("red", 1, "#FF0000") | ||
# and turn into a web style colour specification #FF0000 | ||
#' @importFrom grDevices col2rgb rgb | ||
normalise_colours <- function(x) { | ||
if(is.null(x)) | ||
return(NULL) | ||
cols=apply(col2rgb(x),2, function(x) rgb(x[1], x[2], x[3], maxColorValue = 255)) | ||
tolower(cols) | ||
} |
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[ | ||
{ | ||
"skeleton_id": 1180353, | ||
"color": "#ffff00", | ||
"opacity": 1 | ||
}, | ||
{ | ||
"skeleton_id": 1181286, | ||
"color": "#ff00ff", | ||
"opacity": 1 | ||
}, | ||
{ | ||
"skeleton_id": 1182615, | ||
"color": "#0000ff", | ||
"opacity": 1 | ||
}, | ||
{ | ||
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"color": "#00ff00", | ||
"opacity": 1 | ||
}, | ||
{ | ||
"skeleton_id": 1334552, | ||
"color": "#ffffff", | ||
"opacity": 1 | ||
}, | ||
{ | ||
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"color": "#00ffff", | ||
"opacity": 1 | ||
}, | ||
{ | ||
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"color": "#ff7f00", | ||
"opacity": 1 | ||
}, | ||
{ | ||
"skeleton_id": 2390270, | ||
"color": "#7fff00", | ||
"opacity": 1 | ||
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{ | ||
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"color": "#7f7f7f", | ||
"opacity": 1 | ||
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"color": "#ff0000", | ||
"opacity": 1 | ||
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"color": "#7f7fff", | ||
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"opacity": 1 | ||
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"color": "#7fff7f", | ||
"opacity": 1 | ||
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"color": "#ff007f", | ||
"opacity": 1 | ||
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{ | ||
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"color": "#d8a31e", | ||
"opacity": 1 | ||
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"color": "#3fe0d1", | ||
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"opacity": 1 | ||
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"opacity": 1 | ||
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"opacity": 1 | ||
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"color": "#ffffff", | ||
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"opacity": 1 | ||
} | ||
] |
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