Hi,

I tried to attach these files before as .csv and they did not go through.. This 
time they are .txt files..  I am trying to get the attached following two 
timeseries (these are small subsets of the whole thing) into R so I can merge 
them using zoo.

tmp <- read.table("baltimore.csv", sep = " ") ##This is timeseries 2
z <- zoo(tmp[, 2:20], as.Date(as.character(tmp[, 1]), format = "%y %m %d"))

tmp1 <- read.table("baltimorefludata.csv", sep = " ") ##This is timeseries 1
z2 <- zoo(tmp[,2], as.Date(tmp[, 1]), format = "%m %d %y"))

R is not recognizing Date or YEARMODA as dates..Any suggestions on what I am 
doing wrong or how to fix it would be greatly appreciated!!!

Sincerely,

tom








Thomas Heiman, PhD
Info Systems Eng, Sr
The MITRE Corporation | Center for Enterprise Modernization
Office: 703-983-2951 | thei...@mitre.org<mailto:thei...@mitre.org>

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Date    Count
9/28/2003       1505
10/5/2003       1535
10/12/2003      1549
10/19/2003      1466
10/26/2003      1460
11/2/2003       1501
11/9/2003       1456
11/16/2003      1806
11/23/2003      2466
11/30/2003      4309
12/7/2003       7490
12/14/2003      9428
12/21/2003      10362
 YEARMODA          TEMP            DEWP           SLP             STP           
 VISIB            WDSP           MXSPD    GUST     MAX            MIN   PRCP    
SNDP     FRSHTT
20030928        68      24      58.6    24      1008    24      1002.5  24      
8.5     24      5.7     24      15.9    25.1    81      59       0.55G  999.9   
110010
20030929        57.7    24      47.7    24      1014    24      1008.4  24      
9.9     24      8.3     24      15.9    21      72      50       0.03G  999.9   
10000
20030930        53.7    24      42      24      1023.7  24      1018    24      
9.9     24      4.7     24      10.1    999.9   66.9    43       0.00G  999.9   0
20031001        54.7    24      45.7    24      1022.3  24      1016.5  23      
10      24      1.8     24      5.1     999.9   66.9    43       0.00D  999.9   
10000
20031002        52      24      37.4    24      1019.8  24      1014.1  24      
9.9     24      3.9     24      12      999.9   61      44.1     0.00D  999.9   0
20031003        49      24      32.5    24      1022.5  24      1016.7  24      
9.9     24      2.6     24      8       999.9   62.1    37.9     0.00D  999.9   
100000
20031004        53.3    24      43.6    24      1012.6  24      1006.9  24      
9.9     24      3.1     24      8.9     999.9   69.1    37.9     0.01D  999.9   
10000
20031005        54.6    24      40.2    24      1015.4  24      1009.7  24      
9.9     24      4.2     24      10.1    20      69.1    45       0.00C  999.9   0
20031006        56.6    24      42.4    24      1018.9  24      1013.2  24      
9.9     24      1.7     24      6       999.9   68      45       0.00D  999.9   0
20031007        58.4    24      45.3    24      1021.7  24      1016.1  24      
9.9     24      2.6     24      6       999.9   70      46.9     0.00D  999.9   0
20031008        59.9    24      55.7    24      1023.1  24      1017.1  22      
5       24      1       24      6       999.9   75.9    50       0.00D  999.9   
100000
20031009        63.5    24      58.2    24      1022.7  24      1016.9  23      
4.5     24      0.8     24      4.1     999.9   77      50       0.00D  999.9   
100000
20031010        61.4    24      58.2    24      1020.7  24      1015    24      
4       24      4       24      13      16.9    77      51.1     0.00D  999.9   
100000
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