search for: station_id

I have two models, Stop and Station, they relate one station to many stops. Stop has_one :station Station belongs_to :stop So I can do @station.stops, but I cant do @stop.station, is this right? For example in the view I have: <% for @stop in @stops %> <tr> <td><%= @stop.station.name %></td> <td><%= @stop.time.hour.to_s + '':''

Hi Irucka, I tried it and was able to plot it without any errors.? Here, your code indicates you need two lines. temper[[i]][1] ?temper[[1]][1] # which is the column 1. ? Month 1???? 1 2???? 2 3???? 3 ?temper[[1]][2] #? Data1 #1?? 1.5 #2? 12.3 #3? 11.4 Suppose I use names(temper) instead of seq_along(temper) pdf("irucka.pdf") ?lapply(names(temper),function(i)

Hi all, I have a couple of questions. 1) Is there a more effective way to remove the following pattern (patternrm) from the station_id_Timeseries (see below) patternrm <- c(_2000_4_OND, _2001_1_JFM, _2001_2_AMJ, _2001_3_JAS, _2001_4_OND, _2002_1_JFM, _2002_2_AMJ, _2002_3_JAS, _2002_4_OND, _2003_1_JFM, _2003_2_AMJ, _2003_3_JAS, _2003_4_OND, _2004_1_JFM, _2004_2_AMJ, _2004_3_JAS, _2000_4_OND) # This is the pattern to remove I a...

...******** LSIIT, ULP, Strasbourg, France ******************************** P.S. The format of FIFE7184.LAD is as the following, 7184FIFE.LAD LEAF_ANGLE_DATA 20 \DOCUMENT\BIOLOGY\LEAF_ANG.DOC Dr. Yuangui Li - - - - \DATA\BIOLOGY\LEAF_ANG\7160FIFE.LAD \DATA\BIOLOGY\LEAF_ANG\7201FIFE.LAD SITEGRID_ID,STATION_ID,OBS_DATE,DISTRIBUTION_TYPE,LEAF_BIN_CENTER_ANG,LTER_SPECIES_CODE,SPECIES_NAME,PRCNT_LEAF_AREA,TOTAL_LEAF_AREA,FIFE_DATA_CRTFCN_CODE,LAST_REVISION_DATE 'FIFE-LAM',99,03-JUL-87,'ZENITH ',85.5,140,'INLAND IRONWEED ',.041,1635.97,'CPI ',27-JAN-90 'FIFE-LAM',99,0...

...;columns subset in one single plot? If so, then how would that be done? >>> >>>I would like to thank you in advance. >>> >>>Irucka Embry >>> >>> >>> >>>temp = read..funkyfile("seasonalFluxComparisonDataSet.csv", "station_id", header=TRUE, >sep="\t") >>>temp1<-lapply(temp,function(x) {x1<-x[,colSums(is.na(x))!=nrow(x)]; if(is.data.frame(x1)) >>>x1[complete..cases(x1),] else x1[complete.cases(x1)]}) >>># temp1<-lapply(temp1,function(x) x[is.data.frame(x)]) >>...

Hi all, I have attached the function file (revisedfunction) and the list of station IDs (StationIDs) in .pdf format. I have written a function to perform various operations on the station IDs in two groups. The first 6 station IDs require one less step than the remaining 68 station IDs. The file referenced at the beginning of the function is the file containing the StationIDs. > file =

I am doing analysis on hourly precipitation on a file that is disorganized. However, I managed to clean it up and store it in a dataframe (called CA1) which takes the form as followed: Station_ID Guage_Type Lat Long Date Time_Zone Time_Frame H0 H1 H2 H3 H4 H5 H6 H7 H8 H9 H10 H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 1 4457700 HI 41.52 124.03 1948-07-01 8 LST 0 0 0 0 0 0 0.0000000 0.0000000 0.0000...