我是R编程的初学者。我目前正在尝试从包含X和Y坐标和站点名称的数据框中检索一些站点名称,并将它们复制到具有特定点的不同数据框中。
FD <- matrix(data =c(rep(1, 500), rep(0, 500),
rnorm(1000, mean = 550000, sd=4000),
rnorm(1000, mean = 6350000, sd=20000), rep(NA, 1000)),
ncol = 4, nrow = 1000, byrow = FALSE)
colnames(FD) <- c('Survival', 'X', 'Y', 'Site')
FD <- as.data.frame(FD)
shpxt <- matrix(c(526654.7,526810.5 ,6309098,6309187,530405.4,530692,
6337699, 6338056,580432.7, 580541.9, 6380246,6380391,
585761.3, 585847.6, 6379665, 6379759, 584192.1, 584279.4,
6382358, 6382710, 583421.2, 583492.4, 6379356, 6379425,
532395.5, 532515.3 , 6336421, 6336587, 534694.6, 534791.2,
6335620, 6335740, 536749.8, 536957.5, 6337584, 6338130, 590049.6,
590419.4, 6372232, 6372432, 580443, 580756.5, 6386342, 6386473,
575263.9, 575413.7, 6380416, 6380530, 584625.1, 584753.9, 6381009,
6381335), ncol = 4, nrow = 13, byrow = TRUE)
sites <- c("Brandbaeltet", "Brusaa", "Granly", "Jerup Strand", "Knasborgvej",
"Milrimvej", "Overklitten", "Oversigtsareal", "Sandmosen",
"Strandby", "Troldkaer", "Vaagholt", "Videsletengen")
colnames(shpxt) <- c("Xmin", "Xmax", "Ymin", "Ymax")
shpxt <- as.data.frame(shpxt)
shpxt["Sites"] <- sites
我的方法是使用嵌套的for循环:
tester <- function(FD, shpxt)
{ for (i in 1:nrow(FD)) for (j in 1:nrow(shpxt)) # Open Function
{ if (FD[i,2] >= shpxt[j,1] | FD[i,2] <= shpxt[j,2] & # Open Loop
FD[i,3] >= shpxt[j,3] | FD[i,3] <= shpxt[j,4])
{ # Open Consequent
FD[i,4]=shpxt[j,5]
{break}
} else # Close Consequent
{FD[i,4] <- NA # Open alternative
} # Close alternative
} # Close loop
} # Close function
tester(FD, shpxt)
本质上我想搜索FD中的X和Y坐标落入范围的网站,并将网站名称复制到第i行的FD $ Site中。 当我在我的真实数据上运行循环时,我收到以下错误消息:
test(FD, shpxt)
Error in if (FD[i, 2] >= shpxt[j, 1] | FD[i, 2] <= shpxt[j, 2] & FD[i, :
missing value where TRUE/FALSE needed
如何让循环从这里循环到循环将所需的网站名称复制到我的FD?
亲切的问候Thøger
答案 0 :(得分:6)
考虑到键列之间的范围匹配,您希望合并两个数据帧。这是两个解决方案。
sqldf
library(sqldf)
output <- sqldf("select * from FD left join shpxt
on (FD.X >= shpxt.Xmin and FD.X <= shpxt.Xmax and
FD.Y >= shpxt.Ymin and FD.Y <= shpxt.Ymax ) ")
data.table
library(data.table)
# convert your datasets in data.table
setDT(FD)
setDT(shpxt)
output <- FD[shpxt, on = .(X >= Xmin , X <= Xmax, # indicate x range
Y >= Ymin , Y <= Ymax), nomatch = NA, # indicate y range
.(Survival, X, Y, Xmin, Xmax, Ymin, Ymax, Sites )] # indicate columns in the output
有不同的替代方案可以解决此问题,因为您会在其他SO问题here和here中找到它。
PS。请注意,for loop
不一定是最佳解决方案。
答案 1 :(得分:0)
这是基地R的失败尝试 - 也许有人可以帮助纠正
getSite <- function(x, y) {
return (shpxt[x >= shpxt['Xmin'] & x <= shpxt['Xmax'] &
y >= shpxt['Ymin'] & y <= shpxt['Ymax'] , "Sites"])
}
测试它
p <- c(Survival=0, X=shpxt[2,1], Y=shpxt[2,3])
getSite(p[['X']],p[['Y']])
使用
正确返回[1] "Brusaa"
然而
FD$Site<-apply(FD, 1, function(point) {getSite(point[['X']], point[['Y']])})
失败
``&lt; - .data.frame (
tmp `,“Site”,value = character(0))出错:
替换有0行,数据有1000个