This is exactly what I requested, thank you!! However I do actually have
several columns in my data sheet where I need to do the same thing, then
how do I come about that?
e.g.
yr<-c(rep(2000,14))
doy<-c(16:29)
dat1<-c(3.2,NA,NA,NA,NA,NA,NA,5.1,NA,NA,NA,NA,NA,4.6)
dat2<-c(2.2,NA,NA,NA,NA,NA,NA,
Can anybody help me write a code on the following data example, which
fills out all NA values by using a linear interpolation with the two
closest values?
Doy is day of year (%j).
Code example:
yr<-c(rep(2000,14))
doy<-c(16:29)
dat<-c(3.2,NA,NA,NA,NA,NA,NA,5.1,NA,NA,NA,NA,NA,4.6)
ta<-cbind(yr,d
I have a large dataset looking like this (as an example):
doy<-c(178,179,180,181,182,183,184,185,186,187,188)
s1<-c(0 , 0, 2.4 , 0 , 3.34 , 0 , 5.34 , 0 , 0 , 0 , 6.9)
s2<-c(0 , 9.72, 0, 10.56 , 2.67 , 0 , 6.45 ,0 , 0 , 9, 3.6)
dat<-cbind(doy,s1,s2)
dat
I need to make a barplot where the tw
About time series graphs, I need help to move on:
A time series of data directly from a data logger comes in the dat
format created below:
year<-c(rep(2005,10))
doy<-c(rep(173,5),rep(174,5))
time<-c(15,30,45,100,115,15,30,45,100,115)
dat1<-c(0.022128,0.035036,0.051632,0.071916,0.081136,0.07837,
About time series graphs, I need help to move on:
A time series of data directly from a data logger comes in the dat
format created below:
year<-c(rep(2005,10))
doy<-c(rep(173,5),rep(174,5))
time<-c(15,30,45,100,115,15,30,45,100,115)
dat1<-c(0.022128,0.035036,0.051632,0.071916,0.081136,0.07837,
