5
I’m working with a weather data.frame and I want to know if the data is within the reading limits of the equipment. For this purpose the tolerance limits adopted for temperature (temp_med
, temp_max
and temp_min
) are -40° C a + 60 ° C. In a new column notes are assigned: 1
when the data are within that limit, 3
for when you’re away and 7
when the line has no data.
Script used:
lim_temp<- (-40)<= dados_horas$temp_med & dados_horas$temp_med <= 60
dados_horas$nota1_temp_med [lim_temp] <- 5L
dados_horas$nota1_temp_med [!lim_temp] <- 6L
dados_horas$nota1_temp_med <- 7L
Obs: dados_horas
- Name of my database; temp_med
- column I want to work; nota1_temp_med
- new column with the notes.
But is appearing the following error:
Warning messages: 1: In Ops.factor(dates_hours$temp_med, (-40)) : huh<' not Meaningful for factors 2: In Ops.factor(time_hours$temp_med, 60) : pra<=' not Meaningful for factors
What must I do to correct this mistake?
Part of the database:
dia data hora temp_med temp_max temp_min
1 01/01/2012 12:00:20 AM 20.345 20.517 20.145
1 01/01/2012 1:00:07 AM 20.242 20.523 20.021
1 01/01/2012 2:00:08 AM 19.916 20.071 19.462
1 01/01/2012 3:00:08 AM 19.332 19.452 19.26
1 01/01/2012 4:00:08 AM 19.1 19.449 18.528
1 01/01/2012 5:00:08 AM 18.434 18.526 18.398
1 01/01/2012 6:00:08 AM 18.411 18.443 18.379
1 01/01/2012 7:00:08 AM 18.663 19.087 18.396
1 01/01/2012 8:00:07 AM 19.576 20.089 19.097
1 01/01/2012 9:00:07 AM 20.613 21.393 20.06
1 01/01/2012 10:00:07 AM 22.22 23.83 21.4
1 01/01/2012 11:00:07 AM 23.412 23.875 22.842
1 01/01/2012 12:00:08 PM 23.87 24.774 23.222
1 01/01/2012 1:00:08 PM 22.195 24.474 20.645
1 01/01/2012 2:00:08 PM 23.03 23.579 22.674
1 01/01/2012 3:00:08 PM 24.016 24.845 22.82
1 01/01/2012 4:00:08 PM 24.095 25.074 23.343
1 01/01/2012 5:00:08 PM 23.831 25.064 23.193
1 01/01/2012 6:00:08 PM 22.71 23.203 21.944
1 01/01/2012 7:00:07 PM 22.036 22.629 21.277
1 01/01/2012 8:00:07 PM 20.959 21.32 20.503
1 01/01/2012 9:00:07 PM 20.208 20.659 19.583
1 01/01/2012 10:00:07 PM 19.743 20.029 19.381
1 01/01/2012 11:00:07 PM 19.98 20.224 19.709
2 02/01/2012 12:00:20 AM 20.032 20.149 19.872
That mistake means that
temp_med
is being read asfactor
Dodados_horas$temp_med <- as.numeric(as.character(dados_horas$temp_med))
.– Rui Barradas