所以在excel sheet1上我有一个我需要的信息列表。(有一张图片)在那里我们有开始时间和执行时间。此信息将传递给sheet3,我希望根据执行时间更改结束时间。例如,如果用户输入开始时间=下午1:00并且执行时间= 30分钟。我希望代码放在第3页=下午1:30的结束时间。这是我目前的代码:
Sub findData()
Dim workflow As String
Dim finalrow As Integer
Dim i As Integer
With Sheets("Sheet1")
workflow = .Range("C5").Value
servergri = .Range("C9").Value
gridf = .Range("C9").Value
StartTime = .Range("c11").Value
End With
With Sheets("Sheet3")
finalrow = .Range("C" & Rows.Count).End(xlUp).Row
For i = 5 To finalrow
If .Cells(i, 3) = workflow And (.Cells(i, 4) = servergri Or .Cells(i, 5) = gridf) Then
.Rows(i).Insert
'Add new information to the new row.
'The new row number is still = i
.Cells(i, 3) = workflow
.Cells(i, 4) = servergri
.Cells(i, 6) = StartTime
.Cells(i, 3).Resize(2, 4).Interior.ColorIndex = 8
'If you only want to add one row then your should exit the loop
Exit For
End If
Next
End With
End Sub
答案 0 :(得分:0)
这样做,但您需要确保用户仅以分钟为单位输入时间。 EG“60”持续1小时或“15”持续15分钟。他们不应该输入标签。
getwd()
setwd("C:/_R")
library(maptools)
require(rgdal)
# Read SHAPEFILE.shp from the current working directory (".")
points2010 <- readOGR(dsn = "C:/_R", layer = "points_2010")
metro <- readOGR(dsn = "C:/_R", layer = "selection")
plot(points2010)
plot(metro, axes=TRUE)
head(points2010)
library("rgeos")
ohio.metro <- spTransform(points2010, CRS("+proj=longlat +datum=WGS84"))
plot(ohio.metro, axes=TRUE)
ohio.metro$COUNTYFP10<-substr(ohio.metro$id,3,5)
countylist<-unique(ohio.metro$COUNTYFP10)
# "035" "055" "085" "093" "103"
ohio.county035 <- subset( ohio.metro, COUNTYFP10 == "035" )
ohio.county055 <- subset( ohio.metro, COUNTYFP10 == "055" )
ohio.county085 <- subset( ohio.metro, COUNTYFP10 == "085" )
ohio.county093 <- subset( ohio.metro, COUNTYFP10 == "093" )
ohio.county103 <- subset( ohio.metro, COUNTYFP10 == "103" )
plot(ohio.metro$COUNTYFP10) #counties in the metro
plot(ohio.county035$COUNTYFP10) # counties inthe county
plot(ohio.metro) #counties in the metro
plot(ohio.county035) # counties inthe county
#get the coordinats for the Great circle command
ohio.metro.coords <- ohio.metro@coords
ohio.county035.coords <- ohio.county035@coords
ohio.county055.coords <- ohio.county055@coords
ohio.county085.coords <- ohio.county085@coords
ohio.county093.coords <- ohio.county093@coords
ohio.county103.coords <- ohio.county103@coords
library(fields)
great_circle<-rdist.earth(ohio.county035.coords,ohio.metro.coords,miles=TRUE, R=NULL) #works
great_circle<-rdist.earth(ohio.county055.coords,ohio.metro.coords,miles=TRUE, R=NULL) #works
great_circle<-rdist.earth(ohio.county085.coords,ohio.metro.coords,miles=TRUE, R=NULL) #works
great_circle<-rdist.earth(ohio.county093.coords,ohio.metro.coords,miles=TRUE, R=NULL) #works
great_circle<-rdist.earth(ohio.county103.coords,ohio.metro.coords,miles=TRUE, R=NULL) #works
library(matrixStats)
bm<-rowMedians(great_circle)
head(bm)