NoFix | Firefox extension countering the Session Fixation
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kandi X-RAY | NoFix Summary
A Firefox extension countering the Session Fixation and Session Hijacking attacks
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QUESTION
I have a similar problem to Q: Connecting across missing values with geom_line, but found the answers provided only connect the lines when there is one missing value only. If there are 2+ consecutive missing values the solutions offered do not apply.
I need to connect multiple observations made over time for individual trees. Sometimes measurements were missed such that there are missing values in my df, and sometimes an individual tree was missed more than one year in a row, such that there are multiple consecutive NAs.
When there is only one consecutive NA, using geom_line with this specification works a treat to connect across missing values:
...ANSWER
Answered 2019-Sep-25 at 10:03geom_line()
does not connect across any missing data (NA). And geom_point()
does not plot missing data either. That is the correct default behaviour for missing data. NA cannot be placed on numerical axes.
What you are doing with df[!is.na(df$tr2),]
is removing the missing data before sending it to geom_line()
, tricking into thinking that your data is complete.
To better understand this, print out df[!is.na(df$tr2), c("x", "tr2")]
. That's the data that geom_line()
receives. All of this data is displayed and connected. There are no NAs in that data, because you removed them.
In your "nofix example, you get a line from x=1 to x=5, over three consecutive NA.
So I assume that you mean that geom_line()
does not continue after x=7?
But look at the data. There is no data after x=7. Every x>7 has y=NA. And if you remove NAs, then there is no data at all after x=7.
If your example had one more point, say x=10 y=10, then the line would continue from x=7 to x=10.
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