Displaying 2 results from an estimated 2 matches for "temepratures".
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temeprature
2008 Jun 23
2
Handle missing values
Hi everyone
I am new to R and have a question about missing values. I am trying to
do a cluster analysis of monthly temperatures and my data are 14 columns
with spatial coordinates (lat,lon) and 12 monthly values:
/lat - lon - temp1 - //temp2 - temp3 - .... - //temp12/
If I omit missing values (my missing values are 99.00) with
/mydata <- na.omit(mydata)/
every row with a
2008 May 07
3
function in nls argument
Greetings R users, maybe there is someone who can help
me with this problem:
I define a function "optim.fun" and want as output the
sum of squared errors between predicted and measured
values, as follows:
optim.fun <- function (ST04, SM08b, ch2no, a, b, d, E)
{
predR <-
(a*SM08b^I(2)+b*SM08b+d)*exp(E*((1/(283.15-227.13))-(1/(ST04+273.15-227.13))))
abserr