I am trying to figure out what statistical analysis I need to do to explore the relationship between Year and Day of First Appearance, and Year and Day of Peak Abundance. I have been using R Studio however I am not very confident with statistic. So far, I have tried a generalised linear model for Year ~ Day of First Appearance
Data Loaded:
'data.frame': 55 obs. of 2 variables:
$ Year: int 1932 1939 1948 1950 1952 1956 1957 1959 1960 1966 ...
$ Day : int 105 20 57 63 23 2 47 4 114 6 ...
> glmLA summary(glmLA)
Call:
glm(formula = Year ~ Day, family = poisson, data = FirstApperance)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.1778 -0.3436 0.1506 0.3625 0.7262
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 7.598e+00 4.643e-03 1636.541