On Nov 11, 2009, at 1:06 PM, separent wrote:
#Hello,
#I loaded data using read.table - I needed to convert a row in the
data
frame to date class:
You _should_ have given the actual code (as the Posting Guide
requests), but I would guess that you should have added either
as.is=TRUE or stringsAsFactors=FALSE. As it is, you probably have all
factors.
data
V1 V2 V3 V4
1 2008-05-19 2008-04-19 2008-03-21 2008-02-22
2 38.16999817 30.70999908 36.86000061 35.18999863
3 37.47999954 29.95000076 36.45999908 35.36000061
4 37.47999954 30.14999962 36.47000122 35.36000061
5 37.84999847 30.56999969 36.84000015 35.74000168
6 38.38999939 31.14999962 37.34000015 36.27000046
7 39.11000061 31.90999985 38.02999878 36.97999954
8 39.81000137 32.65000153 38.68000031 37.63999939
9 40.47000122 33.34999847 39.27999878 38.27000046
data[1,]
V1 V2 V3 V4
1 2008-05-19 2008-04-19 2008-03-21 2008-02-22
dates1<-as.Date(data[1,])
do not know how to convert 'dates[1,]' to class "Date"
You should have given the actual error message which was probably more
informative than what your brain interpreted it to mean.
# However, I can individually convert them all:
dates1.1<-as.Date(data[1,1])
dates1.1
[1] "2008-05-19"
# How can I change the class of the date over the entire row (my
original
file contains more than one hundred rows)?
Off hand I would say you want to work on a transpose of this data. You
cannot mix datatypes within columns and it seems fairly clear that the
rows below number 1 are numeric. Back to the drawing board.
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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