search for: sqft

...ly would be greatly appreciated! Situation:___________________________________ My original dataset is a .csv dataset (w/ 2M records) with 4 variables: job_id (Primary key, won't be used for analysis, just used for join tables), sector_id (categorical variable, for 19 industry sectors), sqft (con't variable for square footage), building_type (categorical, for 2 building types) some values of sqft were inputed wrong, so i'd like to set sqft<1 to "NA" and then use aregImpute() to impute those NAs. Problem: the origianl dataset(.csv format) is too larg...

...ddress by modifying the url (see code below). With the url containing the address, I'd like to be able to extract the same information each time. The specific information I'd like to be able to extract includes the homedetails url, price (zestimate), number of beds, number of baths, and the Sqft. All this information is shown in a bubble on the webpage. I use the code below to try and do this but it's not working. I know the infomation I'm interested in is there because if I print out "doc", I see it all in one area. I've attached the relevant section of "doc&qu...

...t;-doc <- htmlTreeParse(url1, isURL=TRUE) doc I'd like to be able to pull the following information into R href home details string : /homedetails/236-Arundel-Ave-Horsham-PA-19044/9933810_zpid/#{scid=hdp-site-map-bubble-address} value for Zestimate \ Price: $239,000 Beds : 3 Baths: 1.0 Sqft :1630 I noticed all that information is in "doc". The section of doc where the information is contained is shown below. How do I go about extracting this information and getting it into R for the general case where the address in url will change ? LatLong.createFromDegrees(40.187567, -7...

...RUE) > Lease$ET = factor(Lease$EarlyTermination) > SICCode=factor(Lease$SIC.Code) > TO=factor(Lease$TenantHasOption) > LO=factor(Lease$LandlordHasOption) > TEO=factor(Lease$TenantExercisedOption) > > RegA=glm(ET~1+MSA, + family=binomial(link=logit), data=Lease, weights=Origil.SQFT) Warning messages: 1: Algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, 2: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, > summary(RegA) Call: glm(f...

Hello, I want to run the following commands as a script(.r or .bat) and save the output in an external file through Windows OS. data<-read.csv(file="wgatever.csv", head=TRUE, sep=",") summary(data$SQFT) hist(data$STAMP) hist(data$STAMP, col='blue') hist(data$SHIP, col='blue') How could I do that? I have a great problem using the sink() function because it produces empty file. Please help! Gagan [[alternative HTML version deleted]]

Dear R users, I'm plotting housing prices in City A over past 30 years in ggplot2. The Xs are years since 1980. I have two housing price variables: new home prices and old home prices, both of them measured by $/sqft. I have searched related threads on multiple Y axes in ggplot2 and I understand that multiple Y axes in different scales are not possible. I'm wondering if it is possible to have multiple Y axes with the same scale in ggplot2, like in my case. If still not possible, is there a easy way to do it...

Dear R users, I'm plotting housing prices in City A over past 30 years in ggplot2. The Xs are years since 1980. I have two housing price variables: new home prices and old home prices, both of them measured by $/sqft. I have searched related threads on multiple Y axes in ggplot2 and I understand that multiple Y axes in different scales are not possible. I'm wondering if it is possible to have multiple Y axes with the same scale in ggplot2, like in my case. If still not possible, is there a easy way to do it...