Interpreting ctree {partykit} output in R

Data precisions :

• quotation is a dummy variable
• minute count all the minutes within a day
• temp is the temperature

Here is my code :

ctree <- ctree(quotation ~ minute + temp, data = visitquot)print(ctree)Fitted party:[1] root|   [2] minute <= 600|   |   [3] minute <= 227|   |   |   [4] temp <= -0.4259|   |   |   |   [5] temp <= -2.3174: 0.015 (n = 6254, err = 89.7)|   |   |   |   [6] temp > -2.3174|   |   |   |   |   [7] minute <= 68: 0.028 (n = 4562, err = 126.3)|   |   |   |   |   [8] minute > 68: 0.046 (n = 7100, err = 312.8)|   |   |   [9] temp > -0.4259|   |   |   |   [10] temp <= 6.0726: 0.015 (n = 56413, err = 860.5)|   |   |   |   [11] temp > 6.0726: 0.019 (n = 39779, err = 758.9)|   |   [12] minute > 227|   |   |   [13] minute <= 501|   |   |   |   [14] minute <= 291: 0.013 (n = 30671, err = 388.0)|   |   |   |   [15] minute > 291: 0.009 (n = 559646, err = 5009.3)|   |   |   [16] minute > 501|   |   |   |   [17] temp <= 5.2105|   |   |   |   |   [18] temp <= -1.8393: 0.009 (n = 66326, err = 617.1)|   |   |   |   |   [19] temp > -1.8393: 0.012 (n = 355986, err = 4289.0)|   |   |   |   [20] temp > 5.2105|   |   |   |   |   [21] temp <= 13.6927: 0.014 (n = 287909, err = 3900.7)|   |   |   |   |   [22] temp > 13.6927|   |   |   |   |   |   [23] temp <= 14: 0.035 (n = 2769, err = 92.7)|   |   |   |   |   |   [24] temp > 14: 0.007 (n = 2161, err = 15.9)|   [25] minute > 600|   |   [26] temp <= 1.6418|   |   |   [27] temp <= -2.3366: 0.012 (n = 110810, err = 1268.1)|   |   |   [28] temp > -2.3366: 0.014 (n = 584457, err = 7973.2)|   |   [29] temp > 1.6418: 0.016 (n = 3753208, err = 57864.3)

Then I ploted the tree :

plot(ctree, type = "simple")

And here is a part of the output :

My questions are :

1. In the first output from print(ctree), lets take the last line [29] temp > 1.6418: 0.016 (n = 3753208, err = 57864.3). What does the value 0.016 means ? is that a p-value ? And what does err = 57864.3 means ? It can't be a count of attribution error because it is a float number.
2. I could not find anywhere a similar output that I have in the grey square. If someone knows how to interpret it. And how can a p-value be negative ?

Here same code but different output