r - Further aggregation by specific groups -


i'm in process of taking data have , splitting smaller groups use in heat map. code have below, have read file, , make 8 different subsets. these subsets have aggregated them hour. data ranges beginning of may end, there 24(number of hourly intervals) * 31 = 744 rows. however, want further group these rows each subset. want final product 24(number of hourly intervals) * 7(number of days in week) = 168 rows. this, example, if there multiple groups interval 12pm - 1 on mondays, want average them together. then, want same rest. have idea how can this? appreciated.

#open file maydata <- read.csv("lengthbindata.csv", header=true) names(maydata) <- c("station", "lane", "bin", "count", "time")  #setting packages #install.packages("tseries") #install.packages("xts") #install.packages("quantmod") #install.packages("timedate") #install.packages("gridextra") #install.packages("ggthemes") #install.packages("lubridate")  library(tseries) library(xts) library(quantmod) library(timedate) library(reshape2) library(ggplot2) library(scales) library(gridextra)    library(ggthemes)  library(lubridate)  #splitting stations  glisannb <- subset(maydata, station == '228' & bin >= '2') glisansb <- subset(maydata, station == '248' & bin >= '2') carmannb <- subset(maydata, station == '82' & bin >= '2') carmansb <- subset(maydata, station == '87' & bin >= '2') marinenb <- subset(maydata, station == '171' & bin >= '2') marinesb <- subset(maydata, station == '187' & bin >= '2') staffordnb <- subset(maydata, station == '213' & bin >= '2') staffordsb <- subset(maydata, station == '231' & bin >= '2')  #setting components data frame  aggregation1 <- aggregate(glisannb['count'], list(hour=cut(as.posixct(glisannb$time), "hour")), sum) totals1 <- aggregation1[,2]  aggregation2 <- aggregate(glisansb['count'], list(hour=cut(as.posixct(glisansb$time), "hour")), sum) totals2 <- aggregation2[,2]  aggregation3 <- aggregate(carmannb['count'], list(hour=cut(as.posixct(carmannb$time), "hour")), sum) totals3 <- aggregation3[,2]  aggregation4 <- aggregate(carmansb['count'], list(hour=cut(as.posixct(carmansb$time), "hour")), sum) totals4 <- aggregation4[,2]  aggregation5 <- aggregate(marinenb['count'], list(hour=cut(as.posixct(marinenb$time), "hour")), sum) totals5 <- aggregation5[,2]  aggregation6 <- aggregate(marinesb['count'], list(hour=cut(as.posixct(marinesb$time), "hour")), sum) totals6 <- aggregation6[,2]  aggregation7 <- aggregate(staffordnb['count'], list(hour=cut(as.posixct(staffordnb$time), "hour")), sum) totals7 <- aggregation7[,2]  aggregation8 <- aggregate(staffordsb['count'], list(hour=cut(as.posixct(staffordsb$time), "hour")), sum) totals8 <- aggregation8[,2]


Comments

Post a Comment

Popular posts from this blog

android - InAppBilling registering BroadcastReceiver in AndroidManifest -

i'm implementing inapp billing in android app. works well, however, i'm trying decouple broadcast receiver activity manifest. suggestion in android's trivialdrive sample: // important: dynamically register broadcast messages updated purchases. // register receiver here instead of <receiver> in manifest // because call getpurchases() @ startup, therefore can ignore // broadcasts sent while app isn't running. // note: registering listener in activity bad idea, done here // because sample. regardless, receiver must registered after // iabhelper setup, before first call getpurchases(). currently there's class extends broadcastreceiver : public class iabbroadcastreceiver extends broadcastreceiver { /** * intent action receiver should filter for. */ public static final string action = "com.android.vending.billing.purchases_updated"; private final iabbroadcastlistener mlistener; public iabbroadcastreceiver(iabbroadcastlistener listener) { m
Read more

python Tkinter Capturing keyboard events save as one single string -

is possible store keyboard events 1 string? code below stores 1 char , prints it. card reader or bar code reader, contains collection of character/ string not 1 character @ time. goal save char pressed text variable. from tkinter import * root = tk() def key(event): text= event.char text+= event.char print ("pressed", text) def callback(event): frame.focus_set() print ("clicked at", event.x, event.y) frame = frame(root, width=100, height=100) frame.bind("<key>", key) frame.bind("<button-1>", callback) frame.pack() root.mainloop() currently, creating text variable , everytime key() function gets called, , text stores last character typed. you can define text module level variable , , use module level text inside key function - text = '' def key(event): global text text+= event.char print("pressed", text)
Read more

sql server - Why does Linq-to-SQL add unnecessary COUNT()? -

here tables: create table customer ( cid int primary key, name varchar(32) ) create table ord ( oid int primary key, cid int foreign key references customer, address varchar(20) ) here's linq-to-sql statement: var aaa = c in db.customer select new { c, o = c.ord.tolist() }; and here's inexplicable query generated linq-to-sql: select [t0].[cid] [cid], [t0].[name] [name], [t1].[oid] [oid], [t1].[cid] [cid2], [t1].[address] [address], (select count(*) [dbo].[ord] [t2] [t2].[cid] = [t0].[cid]) [value] [dbo].[customer] [t0] left outer join [dbo].[ord] [t1] on [t1].[cid] = [t0].[cid] order [t0].[cid], [t1].[oid] i want understand how rid of count(*) part. it's entirely uncalled for! linq needs count(*) in order determine number of entries returned o = c.ord.tolist() .
Read more