approx() has a 'rule' argument that controls how it deals with
extrapolation. Run help(approx) and read about the details.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Jul 22, 2016 at 8:29 AM, lily li wrote:
> Thanks, Ismail.
> For the gaps before 2009-01-05 and after 2009-11-20, I use
Thanks, Ismail.
For the gaps before 2009-01-05 and after 2009-11-20, I use the year 2010 to
fill in the missing values for column C. There is no relationship between
column A, B, and C.
For the missing values between 2009-01-05 and 2009-11-20, if there are any,
I found this approach is very helpful
Hi lili,
The problem may lie in the fact that I think you are using
"interpolate" when you mean "extrapolate". In that case, the best you
can do is spread values beyond the points that you have. Find the
slope of the line, put a point at each end of your time data
(2009-01-01 and 2009-12-31) and us
> On 22 Jul 2016, at 01:54, lily li wrote:
>
> Thanks, I meant if there are missing data at the beginning and end of a
> dataframe, how to interpolate according to available data?
>
> For example, the A column has missing values at the beginning and end, how
> to interpolate linearly between 10
> On 22 Jul 2016, at 01:34, lily li wrote:
>
> I have a question about interpolating missing values in a dataframe.
First of all, filling missing values action must be taken into account very
carefully. It must be known the nature of the data that wanted to be filled and
most of the time, to
Thanks, I meant if there are missing data at the beginning and end of a
dataframe, how to interpolate according to available data?
For example, the A column has missing values at the beginning and end, how
to interpolate linearly between 10 and 12 for the missing values?
df <- data.frame(A=c(NA,
Try approx(), as in:
df <-
data.frame(A=c(10,11,12),B=c(5,5,4),C=c(3.3,4,3),time=as.Date(c("1990-01-01","1990-02-07","1990-02-14")))
with(df, approx(x=time, y=C, xout=seq(min(time), max(time), by="days")))
Do you notice how one can copy and paste that example out of the
mail an into R to see how
I have a question about interpolating missing values in a dataframe. The
dataframe is in the following, Column C has no data before 2009-01-05 and
after 2009-12-31, how to interpolate data for the blanks? That is to say,
interpolate linearly between these two gaps using 5.4 and 6.1? Thanks.
df
ti
8 matches
Mail list logo
