# How to smooth the resulting data

I have a set of time series data, which is the result of rolling regression, but some values are equal to 0. Is there any way to make these values not equal to 0?

0.678381848
0.698492668
0.774965327
0.767932055
0.802818131
0.782082661
0.786376696
0.772711555
0.825326482
0.429966983
0.369878256
0.143088442
0
0.427885146
0
0
0
0.222640205
0.611751119
0.829285752
0.914277054
0.857415164
0.880801407
0.961729734
0.954150056
0.928363388

what would you wish them to be ?

I wish no 0 in the data and other data unchanged, or is there any way to make it look smooth?

like this then

``````#problem
(somevec <- rep(0:5,2))
#solution
somevec[somevec>0]``````

Thank you very much for your reply. I know what you mean, but I wish the number of observations not to decrease, that is to say the total number of observations remains the same.

Then you seem to be asking for the impossible.
to change the data and to not change the data...

I suppose that depends on how willing you are to distort your non-zero data.

i.e. a loess smoothing

``````somevec <- c(0.678381848,
0.698492668,
0.774965327,
0.767932055,
0.802818131,
0.782082661,
0.786376696,
0.772711555,
0.825326482,
0.429966983,
0.369878256,
0.143088442,
0,
0.427885146,
0,
0,
0,
0.222640205,
0.611751119,
0.829285752,
0.914277054,
0.857415164,
0.880801407,
0.961729734,
0.954150056,
0.928363388)

library(tidyverse)
ggplot(data = enframe(somevec),
mapping = aes(x=name,y=value)) +
geom_point() +
geom_smooth(method = "loess",se = FALSE)
``````

Wow~ That sounds like a good idea. Thank you very much for your reply.

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