R应用具有多个动态和静态参数的函数
R apply function with multiple dynamic and static parameters
我想将 distancePointSegment
函数应用于我的 vector
中的所有点,两者都在下面的代码片段中给出。该函数接受 6 个值,其中 2 个是动态的(column/row 特定),4 个是静态的。
# Function that I want to apply:
distancePointSegment <- function(px, py, x1, y1, x2, y2) {
## px,py is the point to test.
## x1,y1,x2,y2 is the line to check distance.
##
## Returns distance from the line, or if the intersecting point on the line nearest
## the point tested is outside the endpoints of the line, the distance to the
## nearest endpoint.
##
## Returns 9999 on 0 denominator conditions.
lineMagnitude <- function(x1, y1, x2, y2) sqrt((x2-x1)^2+(y2-y1)^2)
ans <- NULL
ix <- iy <- 0 # intersecting point
lineMag <- lineMagnitude(x1, y1, x2, y2)
if( lineMag < 0.00000001) {
warning("short segment")
return(9999)
}
u <- (((px - x1) * (x2 - x1)) + ((py - y1) * (y2 - y1)))
u <- u / (lineMag * lineMag)
if((u < 0.00001) || (u > 1)) {
## closest point does not fall within the line segment, take the shorter distance
## to an endpoint
ix <- lineMagnitude(px, py, x1, y1)
iy <- lineMagnitude(px, py, x2, y2)
if(ix > iy) ans <- iy
else ans <- ix
} else {
## Intersecting point is on the line, use the formula
ix <- x1 + u * (x2 - x1)
iy <- y1 + u * (y2 - y1)
ans <- lineMagnitude(px, py, ix, iy)
}
ans
}
# my data points
vector <- c(134.2, 156.1, 165.2, 186, 220.8, 237.1, 239.6, 327.7, 376.2,
396.1, 424.5, 460.2, 563.4, 565.7, 818.6, 819.7, 1120.4, 1279.5,
1640.7)
point_coords <- rbind(1:length(cl$height), vector)
x1 = point_coords[1,1]
y1 = point_coords[2,1]
x2 = point_coords[1,length(vector)]
y2 = point_coords[2,length(vector)]
我尝试了这两种语法,但都不起作用:
apply(point_coords, MARGIN=2, FUN= function(col) {distancePointSegment(col[1], col[2], x1, y1, x2, y2)}, x1=x1, x2=x2,y1=y1,y2=y2)
apply(point_coords, MARGIN=2, FUN= distancePointSegment, px=x[1], py=x[2], x1=x1, x2=x2, y1=y1, y2=y2)
有人能指出我正确的方向吗?这里的正确逻辑是什么?
P.S: 这个问题链接到 an earlier one,但它是一个具有多个动态和静态参数的更通用的案例。
您可以使用 mapply
:
mapply(FUN= distancePointSegment, point_coords[1,], point_coords[2,],
MoreArgs = list(x1=x1, x2=x2, y1=y1, y2=y2))
或者更改函数并使用 apply
:
# Function that I want to apply:
distancePointSegment <- function(p, x1, y1, x2, y2) {
px <- p[1] #the coordinates are passed as a vector to the function
py <- p[2]
## px,py is the point to test.
## x1,y1,x2,y2 is the line to check distance.
##
## Returns distance from the line, or if the intersecting point on the line nearest
## the point tested is outside the endpoints of the line, the distance to the
## nearest endpoint.
##
## Returns 9999 on 0 denominator conditions.
lineMagnitude <- function(x1, y1, x2, y2) sqrt((x2-x1)^2+(y2-y1)^2)
ans <- NULL
ix <- iy <- 0 # intersecting point
lineMag <- lineMagnitude(x1, y1, x2, y2)
if( lineMag < 0.00000001) {
warning("short segment")
return(9999)
}
u <- (((px - x1) * (x2 - x1)) + ((py - y1) * (y2 - y1)))
u <- u / (lineMag * lineMag)
if((u < 0.00001) || (u > 1)) {
## closest point does not fall within the line segment, take the shorter distance
## to an endpoint
ix <- lineMagnitude(px, py, x1, y1)
iy <- lineMagnitude(px, py, x2, y2)
if(ix > iy) ans <- iy
else ans <- ix
} else {
## Intersecting point is on the line, use the formula
ix <- x1 + u * (x2 - x1)
iy <- y1 + u * (y2 - y1)
ans <- lineMagnitude(px, py, ix, iy)
}
ans
}
# my data points
vector <- c(134.2, 156.1, 165.2, 186, 220.8, 237.1, 239.6, 327.7, 376.2,
396.1, 424.5, 460.2, 563.4, 565.7, 818.6, 819.7, 1120.4, 1279.5,
1640.7)
point_coords <- rbind(seq_along(vector), vector) #changed for reproducibility
x1 = point_coords[1,1]
y1 = point_coords[2,1]
x2 = point_coords[1,length(vector)]
y2 = point_coords[2,length(vector)]
apply(point_coords, MARGIN=2, FUN= distancePointSegment,
x1=x1, x2=x2, y1=y1, y2=y2)
我想将 distancePointSegment
函数应用于我的 vector
中的所有点,两者都在下面的代码片段中给出。该函数接受 6 个值,其中 2 个是动态的(column/row 特定),4 个是静态的。
# Function that I want to apply:
distancePointSegment <- function(px, py, x1, y1, x2, y2) {
## px,py is the point to test.
## x1,y1,x2,y2 is the line to check distance.
##
## Returns distance from the line, or if the intersecting point on the line nearest
## the point tested is outside the endpoints of the line, the distance to the
## nearest endpoint.
##
## Returns 9999 on 0 denominator conditions.
lineMagnitude <- function(x1, y1, x2, y2) sqrt((x2-x1)^2+(y2-y1)^2)
ans <- NULL
ix <- iy <- 0 # intersecting point
lineMag <- lineMagnitude(x1, y1, x2, y2)
if( lineMag < 0.00000001) {
warning("short segment")
return(9999)
}
u <- (((px - x1) * (x2 - x1)) + ((py - y1) * (y2 - y1)))
u <- u / (lineMag * lineMag)
if((u < 0.00001) || (u > 1)) {
## closest point does not fall within the line segment, take the shorter distance
## to an endpoint
ix <- lineMagnitude(px, py, x1, y1)
iy <- lineMagnitude(px, py, x2, y2)
if(ix > iy) ans <- iy
else ans <- ix
} else {
## Intersecting point is on the line, use the formula
ix <- x1 + u * (x2 - x1)
iy <- y1 + u * (y2 - y1)
ans <- lineMagnitude(px, py, ix, iy)
}
ans
}
# my data points
vector <- c(134.2, 156.1, 165.2, 186, 220.8, 237.1, 239.6, 327.7, 376.2,
396.1, 424.5, 460.2, 563.4, 565.7, 818.6, 819.7, 1120.4, 1279.5,
1640.7)
point_coords <- rbind(1:length(cl$height), vector)
x1 = point_coords[1,1]
y1 = point_coords[2,1]
x2 = point_coords[1,length(vector)]
y2 = point_coords[2,length(vector)]
我尝试了这两种语法,但都不起作用:
apply(point_coords, MARGIN=2, FUN= function(col) {distancePointSegment(col[1], col[2], x1, y1, x2, y2)}, x1=x1, x2=x2,y1=y1,y2=y2)
apply(point_coords, MARGIN=2, FUN= distancePointSegment, px=x[1], py=x[2], x1=x1, x2=x2, y1=y1, y2=y2)
有人能指出我正确的方向吗?这里的正确逻辑是什么?
P.S: 这个问题链接到 an earlier one,但它是一个具有多个动态和静态参数的更通用的案例。
您可以使用 mapply
:
mapply(FUN= distancePointSegment, point_coords[1,], point_coords[2,],
MoreArgs = list(x1=x1, x2=x2, y1=y1, y2=y2))
或者更改函数并使用 apply
:
# Function that I want to apply:
distancePointSegment <- function(p, x1, y1, x2, y2) {
px <- p[1] #the coordinates are passed as a vector to the function
py <- p[2]
## px,py is the point to test.
## x1,y1,x2,y2 is the line to check distance.
##
## Returns distance from the line, or if the intersecting point on the line nearest
## the point tested is outside the endpoints of the line, the distance to the
## nearest endpoint.
##
## Returns 9999 on 0 denominator conditions.
lineMagnitude <- function(x1, y1, x2, y2) sqrt((x2-x1)^2+(y2-y1)^2)
ans <- NULL
ix <- iy <- 0 # intersecting point
lineMag <- lineMagnitude(x1, y1, x2, y2)
if( lineMag < 0.00000001) {
warning("short segment")
return(9999)
}
u <- (((px - x1) * (x2 - x1)) + ((py - y1) * (y2 - y1)))
u <- u / (lineMag * lineMag)
if((u < 0.00001) || (u > 1)) {
## closest point does not fall within the line segment, take the shorter distance
## to an endpoint
ix <- lineMagnitude(px, py, x1, y1)
iy <- lineMagnitude(px, py, x2, y2)
if(ix > iy) ans <- iy
else ans <- ix
} else {
## Intersecting point is on the line, use the formula
ix <- x1 + u * (x2 - x1)
iy <- y1 + u * (y2 - y1)
ans <- lineMagnitude(px, py, ix, iy)
}
ans
}
# my data points
vector <- c(134.2, 156.1, 165.2, 186, 220.8, 237.1, 239.6, 327.7, 376.2,
396.1, 424.5, 460.2, 563.4, 565.7, 818.6, 819.7, 1120.4, 1279.5,
1640.7)
point_coords <- rbind(seq_along(vector), vector) #changed for reproducibility
x1 = point_coords[1,1]
y1 = point_coords[2,1]
x2 = point_coords[1,length(vector)]
y2 = point_coords[2,length(vector)]
apply(point_coords, MARGIN=2, FUN= distancePointSegment,
x1=x1, x2=x2, y1=y1, y2=y2)