GLM: "no method matching fit"

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9

Okay thanks. Your MWE could have been:

using DataFrames, GLM
markers_visitors = Any[19, 34, 70, 122, 136, 105, 74, 14, 48, 81, 68, 91, 93, 55, 17, 44, 
    62, 61, 141, 65, 50, 104, 164, 152, 27, 54, 64, 60, 101, 53, 73]
markers_temp = Any[22.5, 23.5, 24.2, 22.1, 21.4, 20.6, 19.4, 19.8, 22.2, 22.7, 24.1, 
    24.1, 23.1, 21.9, 24.8, 26.2, 27.0, 23.5, 23.0, 21.5, 19.9, 28.4, 
    27.2, 24.8, 28.3, 29.7, 31.2, 30.0, 22.2, 31.0, 31.4]

df_new = DataFrame(visitors = markers_visitors, temp = markers_temp)
lm(@formula(visitors ~ temp), df_new)

This reproduces your error, and allows to narrow down the issue - it is indeed with the untyped Any arrays, if you instead use:

markers_visitors = Int64[19, 34, 70, 122, 136, 105, 74, 14, 48, 81, 68, 91, 93, 55, 17, 44, 
    62, 61, 141, 65, 50, 104, 164, 152, 27, 54, 64, 60, 101, 53, 73]
markers_temp = Float64[22.5, 23.5, 24.2, 22.1, 21.4, 20.6, 19.4, 19.8, 22.2, 22.7, 24.1, 
    24.1, 23.1, 21.9, 24.8, 26.2, 27.0, 23.5, 23.0, 21.5, 19.9, 28.4, 
    27.2, 24.8, 28.3, 29.7, 31.2, 30.0, 22.2, 31.0, 31.4]

you should get:

visitors ~ 1 + temp

Coefficients:
─────────────────────────────────────────────────────────────────────────────
              Estimate  Std. Error    t value  Pr(>|t|)  Lower 95%  Upper 95%
─────────────────────────────────────────────────────────────────────────────
(Intercept)  89.0044      50.6897    1.75587     0.0897  -14.6677   192.676
temp         -0.600152     2.04246  -0.293838    0.7710   -4.77745    3.57714
─────────────────────────────────────────────────────────────────────────────
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