r - name - metatag

Diagrama de flujo de la transición de los estados (4)

Esto es solo para mostrar que plotmat se puede usar para esto:

library(diagram) M <- matrix(nrow = 4, ncol = 4, byrow = TRUE, data = 0) C <- M A <- M M[2, 1] <- "f11" M[4, 1] <- "f12" M[2, 3] <- "f21" M[4, 3] <- "f22" C[4, 1] <- -0.1 C[2, 3] <- 0.1 A[2, 1] <- A[2, 3] <- A[4, 3] <-4 A[4, 1] <- 8 col <- M col[] <- "red" col[2, 1] <- col[4, 1] <- "blue" plotmat(M, pos = c(2, 2), curve = C, name = c(1,1,2,2), box.size=c(0.05,0.03,0.03,0.05), box.prop = 2, arr.lwd=A, lwd = 1, box.lwd = 2, box.cex = 1, cex.txt = 0.8, arr.lcol = col, arr.col = col, box.type = "rect", lend=3)

Algunos ajustes finos y posiblemente la modificación de la función deberían darle el gráfico que desea.

Estoy tratando de encontrar una forma de graficar algo como esto en R:

Es una transición entre estados, quiero que los cuadros sean iguales al tamaño de la población y las flechas para indicar el tamaño de la transición. Miré el paquete Diagram , pero los Diagram de flujo parecen demasiado burdos para esto.

¿Hay un paquete mejor que permita esto?
Si 1 == FALSO: ¿Hay algún otro software que sea más adecuado?
Si 1 y 2 == FALSO: supongo que el último recurso son los rectangles cuadrícula y las flechas curvadas de bezier , ¿hay alguna idea de cómo hacer que esto salga rápidamente del suelo?

Mi respuesta es solo una prueba de concepto para demostrar la viabilidad de esta trama usando grid y bezier . Utilizo lattice para trazar la escena y luego el paquete de grid en el native . Es solo un comienzo, creo que puedes completarlo fácilmente.

library(grid) library(lattice) dat <- data.frame(x=c(1,1,2,2), y=c(1,2,1,2), weight=c(2,1,1,2), text=c(''B'',''A'',''B'',''A'')) cols <- colorRampPalette(c("grey", "green"))(nrow(dat)) xyplot(y~x,data=dat,groups=weight, xlim=extendrange(dat$x,f=1), ylim=extendrange(dat$y,f=1), panel=function(x,y,groups,...){ lapply(seq_along(x),function(i){ grid.roundrect(x[i],y[i], width=.5, height=.5*groups[i], gp=gpar(fill=cols[i],lwd=5,col=''blue''), def=''native'') grid.text(x[i],y[i],label=dat$text[i], gp=gpar(cex=5,col=''white''), def=''native'') }) xx <- c(x[1]+0.25, x[1]+0.25, x[3]-0.25, x[3]-0.25) yy <- c(y[1], y[1], y[3], y[3]) grid.bezier(xx, yy, gp=gpar(lwd=3, fill="black"), arrow=arrow(type="closed"), def=''native'') xx <- c(x[1]+0.25, 1, 2, x[4]-0.25) yy <- c(y[1], 2, 1, y[4]) grid.bezier(xx, yy, gp=gpar(lwd=3, fill="black"), arrow=arrow(type="closed", length=unit(0.5, "inches")), def=''native'') xx <- c(x[2]+0.25, x[2]+0.25, x[4]-0.25, x[4]-0.25) yy <- c(y[2], y[2], y[4], y[4]) grid.bezier(xx, yy, gp=gpar(lwd=3, fill="black"), arrow=arrow(type="closed", length=unit(0.5, "inches")), def=''native'') })

OK, así que no pude resistirme, hice un diagrama basado en el paquete de grillas como sugirió @agstudy. Algunas cosas todavía me molestan:

Las flechas bezier no siguen la línea, sino que apuntan directamente a la caja en lugar de entrar en ángulo.
No estoy al tanto de una buena opción de graduación de curvas bezier, parece que en general hay poco soporte para degradados en R (la mayoría de las soluciones que he leído son sobre líneas múltiples)

Arreglado

Ok, después de mucho trabajo, finalmente lo tengo exactamente. La nueva versión 0.5.3.0 de mi paquete tiene el código para la trama.

Código antiguo

Aquí está la trama:

Y el código:

#'' A transition plot #'' #'' This plot purpose is to illustrate how states change before and #'' after. In my research I use it before surgery and after surgery #'' but it can be used in any situation where you have a change from #'' one state to another #'' #'' @param transition_flow This should be a matrix with the size of the transitions. #'' The unit for each cell should be number of observations, row/column-proportions #'' will show incorrect sizes. The matrix needs to be square. The best way to generate #'' this matrix is probably just do a /code{table(starting_state, end_state)}. The rows #'' represent the starting positions, while the columns the end positions. I.e. the first #'' rows third column is the number of observations that go from the first class to the #'' third class. #'' @param box_txt The text to appear inside of the boxes. If you need line breaks #'' then you need to manually add a //n inside the string. #'' @param tot_spacing The proportion of the vertical space that is to be left #'' empty. It is then split evenly between the boxes. #'' @param box_width The width of the box. By default the box is one fourth of #'' the plot width. #'' @param fill_start_box The fill color of the start boxes. This can either #'' be a single value ore a vector if you desire different colors for each #'' box. #'' @param txt_start_clr The text color of the start boxes. This can either #'' be a single value ore a vector if you desire different colors for each #'' box. #'' @param fill_end_box The fill color of the end boxes. This can either #'' be a single value ore a vector if you desire different colors for each #'' box. #'' @param txt_end_clr The text color of the end boxes. This can either #'' be a single value ore a vector if you desire different colors for each #'' box. #'' @param pt The point size of the text #'' @param min_lwd The minimum width of the line that we want to illustrate the #'' tranisition with. #'' @param max_lwd The maximum width of the line that we want to illustrate the #'' tranisition with. #'' @param lwd_prop_total The width of the lines may be proportional to either the #'' other flows from that box, or they may be related to all flows. This is a boolean #'' parameter that is set to true by default, i.e. relating to all flows. #'' @return void #'' @example examples/transitionPlot_example.R #'' #'' @author max #'' @import grid #'' @export transitionPlot <- function (transition_flow, box_txt = rownames(transition_flow), tot_spacing = 0.2, box_width = 1/4, fill_start_box = "darkgreen", txt_start_clr = "white", fill_end_box = "steelblue", txt_end_clr = "white", pt=20, min_lwd = 1, max_lwd = 6, lwd_prop_total = TRUE) { # Just for convenience no_boxes <- nrow(transition_flow) # Do some sanity checking of the variables if (tot_spacing < 0 || tot_spacing > 1) stop("Total spacing, the tot_spacing param,", " must be a fraction between 0-1,", " you provided ", tot_spacing) if (box_width < 0 || box_width > 1) stop("Box width, the box_width param,", " must be a fraction between 0-1,", " you provided ", box_width) # If the text element is a vector then that means that # the names are the same prior and after if (is.null(box_txt)) box_txt = matrix("", ncol=2, nrow=no_boxes) if (is.null(dim(box_txt)) && is.vector(box_txt)) if (length(box_txt) != no_boxes) stop("You have an invalid length of text description, the box_txt param,", " it should have the same length as the boxes, ", no_boxes, ",", " but you provided a length of ", length(box_txt)) else box_txt <- cbind(box_txt, box_txt) else if (nrow(box_txt) != no_boxes || ncol(box_txt) != 2) stop("Your box text matrix doesn''t have the right dimension, ", no_boxes, " x 2, it has: ", paste(dim(box_txt), collapse=" x ")) # Make sure that the clrs correspond to the number of boxes fill_start_box <- rep(fill_start_box, length.out=no_boxes) txt_start_clr <- rep(txt_start_clr, length.out=no_boxes) fill_end_box <- rep(fill_end_box, length.out=no_boxes) txt_end_clr <- rep(txt_end_clr, length.out=no_boxes) if(nrow(transition_flow) != ncol(transition_flow)) stop("Invalid input array, the matrix is not square but ", nrow(transition_flow), " x ", ncol(transition_flow)) # Set the proportion of the start/end sizes of the boxes prop_start_sizes <- rowSums(transition_flow)/sum(transition_flow) prop_end_sizes <- colSums(transition_flow)/sum(transition_flow) if (sum(prop_end_sizes) == 0) stop("You can''t have all empty boxes after the transition") getBoxPositions <- function (no, side){ empty_boxes <- ifelse(side == "left", sum(prop_start_sizes==0), sum(prop_end_sizes==0)) # Calculate basics space <- tot_spacing/(no_boxes-1-empty_boxes) # Do the y-axis ret <- list(height=(1-tot_spacing)*ifelse(side == "left", prop_start_sizes[no], prop_end_sizes[no])) if (no == 1){ ret$top <- 1 }else{ ret$top <- 1 - ifelse(side == "left", sum(prop_start_sizes[1:(no-1)]), sum(prop_end_sizes[1:(no-1)])) * (1-tot_spacing) - space*(no-1) } ret$bottom <- ret$top - ret$height ret$y <- mean(c(ret$top, ret$bottom)) ret$y_exit <- rep(ret$y, times=no_boxes) ret$y_entry_height <- ret$height/3 ret$y_entry <- seq(to=ret$y-ret$height/6, from=ret$y+ret$height/6, length.out=no_boxes) # Now the x-axis if (side == "right"){ ret$left <- 1-box_width ret$right <- 1 }else{ ret$left <- 0 ret$right <- box_width } txt_margin <- box_width/10 ret$txt_height <- ret$height - txt_margin*2 ret$txt_width <- box_width - txt_margin*2 ret$x <- mean(c(ret$left, ret$right)) return(ret) } plotBoxes <- function (no_boxes, width, txt, fill_start_clr, fill_end_clr, lwd=2, line_col="#000000") { plotBox <- function(bx, bx_txt, fill){ grid.roundrect(y=bx$y, x=bx$x, height=bx$height, width=width, gp = gpar(lwd=lwd, fill=fill, col=line_col)) if (bx_txt != ""){ grid.text(bx_txt,y=bx$y, x=bx$x, just="centre", gp=gpar(col=txt_start_clr, fontsize=pt)) } } for(i in 1:no_boxes){ if (prop_start_sizes[i] > 0){ bx_left <- getBoxPositions(i, "left") plotBox(bx=bx_left, bx_txt = txt[i, 1], fill=fill_start_clr[i]) } if (prop_end_sizes[i] > 0){ bx_right <- getBoxPositions(i, "right") plotBox(bx=bx_right, bx_txt = txt[i, 2], fill=fill_end_clr[i]) } } } # Do the plot require("grid") plot.new() vp1 <- viewport(x = 0.51, y = 0.49, height=.95, width=.95) pushViewport(vp1) shadow_clr <- rep(grey(.8), length.out=no_boxes) plotBoxes(no_boxes, box_width, txt = matrix("", nrow=no_boxes, ncol=2), # Don''t print anything in the shadow boxes fill_start_clr = shadow_clr, fill_end_clr = shadow_clr, line_col=shadow_clr[1]) popViewport() vp1 <- viewport(x = 0.5, y = 0.5, height=.95, width=.95) pushViewport(vp1) plotBoxes(no_boxes, box_width, txt = box_txt, fill_start_clr = fill_start_box, fill_end_clr = fill_end_box) for (i in 1:no_boxes){ bx_left <- getBoxPositions(i, "left") for (flow in 1:no_boxes){ if (transition_flow[i,flow] > 0){ bx_right <- getBoxPositions(flow, "right") a_l <- (box_width/4) a_angle <- atan(bx_right$y_entry_height/(no_boxes+.5)/2/a_l)*180/pi if (lwd_prop_total) lwd <- min_lwd + (max_lwd-min_lwd)*transition_flow[i,flow]/max(transition_flow) else lwd <- min_lwd + (max_lwd-min_lwd)*transition_flow[i,flow]/max(transition_flow[i,]) # Need to adjust the end of the arrow as it otherwise overwrites part of the box # if it is thick right <- bx_right$left-.00075*lwd grid.bezier(x=c(bx_left$right, .5, .5, right), y=c(bx_left$y_exit[flow], bx_left$y_exit[flow], bx_right$y_entry[i], bx_right$y_entry[i]), gp=gpar(lwd=lwd, fill="black"), arrow=arrow(type="closed", angle=a_angle, length=unit(a_l, "npc"))) # TODO: A better option is probably bezierPoints } } } popViewport() }

Y el ejemplo se generó con:

# Settings no_boxes <- 3 # Generate test setting transition_matrix <- matrix(NA, nrow=no_boxes, ncol=no_boxes) transition_matrix[1,] <- 200*c(.5, .25, .25) transition_matrix[2,] <- 540*c(.75, .10, .15) transition_matrix[3,] <- 340*c(0, .2, .80) transitionPlot(transition_matrix, box_txt = c("First", "Second", "Third"))

También agregué esto a mi Gmisc-package . ¡Disfrutar!

Publicación muy antigua, pero parte del problema es la terminología. Una vez que sepa a qué llamar algo, es mucho más fácil descubrir cómo representar los datos. Estos cuadros son diagramas de Sankey

Personalmente me gusta la biblioteca D3js de Mike Bostock para hacer estos diagramas, pero R también puede hacerlos.

Para hacer esto en R, mira esta publicación de Stack o R-Blogger