我正在将matrix.h文件导入到我的android项目中。这是弹出的错误。我该如何解决这些错误？
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:20:8: error: 'traits' is not a class template
struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
^
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:20:15: error: 'Matrix' was not declared in this scope
struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
^
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:20:75: error: expected unqualified-id before '>' token
struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
^
In file included from /xrffunk/src/deconvolution/SumPeaks/Regions.h:21:0,
from /xrffunk/src/deconvolution/SumPeaks/IMD.h:8,
from /xrffunk/src/xrffunk.cpp:28:
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:181:27: error: expected template-name before '<' token
: public PlainObjectBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
^
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:181:27: error: expected '{' before '<' token
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:181:27: error: expected unqualified-id before '<' token
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:430:32: error: wrong number of template arguments (3, should be 6)
typedef Matrix<Type, Size, Size> Matrix##SizeSuffix##TypeSuffix; \
^
/xrffunk/src/deconvolution/SumPeaks/Matrix.h:443:1: note: in expansion of macro 'EIGEN_MAKE_TYPEDEFS'
EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
^
答案 0 :(得分：1)
您不能直接包含内部文件library(plotly)
library(shiny)
library(htmlwidgets)
js <- c(
"function(el, x, inputName){",
" var id = el.getAttribute('id');",
" var d3 = Plotly.d3;",
" el.on('plotly_restyle', function(evtData) {",
" var out = {};",
" d3.select('#' + id + ' g.legend').selectAll('.traces').each(function(){",
" var trace = d3.select(this)[0][0].__data__[0].trace;",
" out[trace.name] = trace.visible;",
" });",
" Shiny.setInputValue(inputName, out);",
" });",
"}")
YNElement <- function(idx){sprintf("YesNo_button-%d", idx)}
ui <- fluidPage(
fluidRow(
column(2,
h5("Keep/Drop choices linked to colorscheme 1"),
uiOutput('YNbuttons')
),
column(8,
plotlyOutput("plot1")
),
column(2,
h5('Switch grouping'),
actionButton(inputId = 'Switch', label = icon('refresh'), style = "color: #f7ad6e; background-color: white; border-color: #f7ad6e;
height: 40px; width: 40px; border-radius: 6px; border-width: 2px; text-align: center; line-height: 50%; padding: 0px; display:block; margin: 2px")
), style = "margin-top:150px"
),
verbatimTextOutput("tracesPlot1"),
verbatimTextOutput("tracesPlot2")
)
server <- function(input, output, session) {
values <- reactiveValues(colors = T, NrOfTraces = length(unique(mtcars$cyl)))
output$plot1 <- renderPlotly({
if(values$colors) { colors <- c('red', 'blue', 'green') } else {colors <- c('black', 'orange', 'gray')}
p1 <- plot_ly()
p1 <- add_trace(p1, data = mtcars, x = ~disp, y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p1 <- layout(p1, title = 'mtcars group by cyl with switching colors')
p1 <- plotly_build(p1)
if(values$colors) { for(i in seq_along(p1$x$data)){
p1$x$data[[i]]$visible <- values$legenditems[[p1$x$data[[i]]$name]]}
}
p1 %>% onRender(js, data = "tracesPlot1")
})
observeEvent(input$Switch, { values$colors <- !values$colors })
observeEvent(values$dYNbs_cyl_el, {
legenditems <- values$dYNbs_cyl_el
legenditems[which(legenditems == FALSE)] <- 'legendonly'
legenditems[which(legenditems == TRUE )] <- 'TRUE'
names(legenditems) <- sort(unique(mtcars$cyl))
values$legenditems <- as.list(legenditems)
})
observeEvent(values$NrOfTraces, {
values$dYNbs_cyl_el <- rep(T,values$NrOfTraces)
names(values$dYNbs_cyl_el) <- sapply(1:values$NrOfTraces, function(x) {YNElement(x)})
})
output$YNbuttons <- renderUI({
req(values$NrOfTraces)
lapply(1:values$NrOfTraces, function(el) {
YNb <- YNElement(el)
if(values$dYNbs_cyl_el[[YNb]] == T ) {
div(actionButton(inputId = YNb, label = icon("check"), style = "color: #339FFF; background-color: white; border-color: #339FFF;height: 34px; width: 34px; border-radius: 6px; border-width: 2px; text-align: center; line-height: 50%; padding: 0px; display:block; margin: 2px"))
} else {
div(actionButton(inputId = YNb, label = icon("times"), style = "color: #ff4d4d; background-color: white; border-color: #ff4d4d;height: 34px; width: 34px; border-radius: 6px; border-width: 2px; text-align: center; line-height: 50%; padding: 0px; display:block; margin: 2px"))
}
})
})
flipYNb_FP1 <- function(idx){
YNb <- YNElement(idx)
values$dYNbs_cyl_el[[YNb]] <- !values$dYNbs_cyl_el[[YNb]]
}
observe({
lapply(1:values$NrOfTraces, function(ob) {
YNElement <- YNElement(ob)
observeEvent(input[[YNElement]], {
flipYNb_FP1(ob)
}, ignoreInit = T)
})
})
observeEvent(input$tracesPlot1, {
listTraces <- input$tracesPlot1
listTracesTF <- gsub('legendonly', FALSE, listTraces)
listTracesTF <- as.logical(listTracesTF)
lapply(1:values$NrOfTraces, function(el) {
if(el <= length(listTracesTF)) {
YNb <- YNElement(el)
if(values$dYNbs_cyl_el[[YNb]] != listTracesTF[el]) {
values$dYNbs_cyl_el[[YNb]] <- listTracesTF[el]
}
}
})
})
output$tracesPlot1 <- renderPrint({ unlist(input$tracesPlot1) })
output$tracesPlot2 <- renderPrint({ unlist(values$legenditems) })
}
shinyApp(ui, server)
。您必须包含Eigen/src/CoreMatrix.h，该文件要求Eigen/Core中的所有文件。