Hi. This may be a straight-forward question... I have a time series from 1950 to 2000 (by year) with missing values. Sometimes only a year has value and the adjacent years have missing data, e.g. 1950 2.7 1951 1952 1953 3.4 1954 1955 1956 2.9 1957 3.6 1958 2.7 When I use plot (type='l'), the line can't connect the 'stand-alone' years. Is there a way I have have R to skip over the NA and draw a line with the points available? Thanks! k.
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4 messages · Kitty Lee, Jim Lemon, gledson picharski +1 more
Kitty Lee wrote:
Hi. This may be a straight-forward question... I have a time series from 1950 to 2000 (by year) with missing values. Sometimes only a year has value and the adjacent years have missing data, e.g. 1950 2.7 1951 1952 1953 3.4 1954 1955 1956 2.9 1957 3.6 1958 2.7 When I use plot (type='l'), the line can't connect the 'stand-alone' years. Is there a way I have have R to skip over the NA and draw a line with the points available?
Hi Kitty, Assuming that the above is a data frame with two columns, the second of which is named "value": plot(my.data.frame[!is.na(my.data.frame$value),],type="l") Jim
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On Jan 10, 2009, at 1:48 AM, Jim Lemon wrote:
Kitty Lee wrote:
Hi. This may be a straight-forward question... I have a time series from 1950 to 2000 (by year) with missing values. Sometimes only a year has value and the adjacent years have missing data, e.g. 1950 2.7 1951 1952 1953 3.4 1954 1955 1956 2.9 1957 3.6 1958 2.7 When I use plot (type='l'), the line can't connect the 'stand- alone' years. Is there a way I have have R to skip over the NA and draw a line with the points available?
Hi Kitty, Assuming that the above is a data frame with two columns, the second of which is named "value": plot(my.data.frame[!is.na(my.data.frame$value),],type="l") Jim
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