Classification/weather prediction
I am currently studying weather prediction using R.
I tried rpart but some of the predictions are removed.
My data contains Weather, Humidity, and Temperature can be found on the link,
Weather Data.
I just want to create ranges for the prediction like:
Haze = Temperature is 27 to 29 & Humidity is 72 to 76
for all the data under weather. What is the best thing to do?
r classification prediction weather
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
add a comment |
I am currently studying weather prediction using R.
I tried rpart but some of the predictions are removed.
My data contains Weather, Humidity, and Temperature can be found on the link,
Weather Data.
I just want to create ranges for the prediction like:
Haze = Temperature is 27 to 29 & Humidity is 72 to 76
for all the data under weather. What is the best thing to do?
r classification prediction weather
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
1
I'm trying to know the range to categorize that this temperature and this humidity is a haze.
– April Capistrano
Nov 12 '18 at 11:55
Can you not just look at the distributions of temp and humidity where your response variable = Haze? I'm not sure why you need to build a model for this.
– Cleland
Nov 12 '18 at 14:12
add a comment |
I am currently studying weather prediction using R.
I tried rpart but some of the predictions are removed.
My data contains Weather, Humidity, and Temperature can be found on the link,
Weather Data.
I just want to create ranges for the prediction like:
Haze = Temperature is 27 to 29 & Humidity is 72 to 76
for all the data under weather. What is the best thing to do?
r classification prediction weather
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
I am currently studying weather prediction using R.
I tried rpart but some of the predictions are removed.
My data contains Weather, Humidity, and Temperature can be found on the link,
Weather Data.
I just want to create ranges for the prediction like:
Haze = Temperature is 27 to 29 & Humidity is 72 to 76
for all the data under weather. What is the best thing to do?
r classification prediction weather
r classification prediction weather
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
edited Nov 12 '18 at 11:49
hrbrmstr
60.4k687148
60.4k687148
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
asked Nov 12 '18 at 11:48
April CapistranoApril Capistrano
35
35
1
I'm trying to know the range to categorize that this temperature and this humidity is a haze.
– April Capistrano
Nov 12 '18 at 11:55
Can you not just look at the distributions of temp and humidity where your response variable = Haze? I'm not sure why you need to build a model for this.
– Cleland
Nov 12 '18 at 14:12
add a comment |
1
I'm trying to know the range to categorize that this temperature and this humidity is a haze.
– April Capistrano
Nov 12 '18 at 11:55
Can you not just look at the distributions of temp and humidity where your response variable = Haze? I'm not sure why you need to build a model for this.
– Cleland
Nov 12 '18 at 14:12
1
1
I'm trying to know the range to categorize that this temperature and this humidity is a haze.
– April Capistrano
Nov 12 '18 at 11:55
I'm trying to know the range to categorize that this temperature and this humidity is a haze.
– April Capistrano
Nov 12 '18 at 11:55
Can you not just look at the distributions of temp and humidity where your response variable = Haze? I'm not sure why you need to build a model for this.
– Cleland
Nov 12 '18 at 14:12
Can you not just look at the distributions of temp and humidity where your response variable = Haze? I'm not sure why you need to build a model for this.
– Cleland
Nov 12 '18 at 14:12
add a comment |
1 Answer
1
active
oldest
votes
expand.grid()` for this issue.
expand.grid creates all possible combinations from sequences 27:29 and 72 to 76.
See this example
expand.grid("Temperature" = 27:29, "Humidity" = 72:76)
This can handed over the function predict like this:
predict(Yourmodel, newdata = expand.grid(Temperature = 27:29, "Humidity" = 72:76))
answered Nov 12 '18 at 11:56
floefloe
268210
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
expand.grid()` for this issue.
expand.grid creates all possible combinations from sequences 27:29 and 72 to 76.
See this example
expand.grid("Temperature" = 27:29, "Humidity" = 72:76)
This can handed over the function predict like this:
predict(Yourmodel, newdata = expand.grid(Temperature = 27:29, "Humidity" = 72:76))
answered Nov 12 '18 at 11:56
floefloe
268210
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
add a comment |
expand.grid()` for this issue.
expand.grid creates all possible combinations from sequences 27:29 and 72 to 76.
See this example
expand.grid("Temperature" = 27:29, "Humidity" = 72:76)
This can handed over the function predict like this:
predict(Yourmodel, newdata = expand.grid(Temperature = 27:29, "Humidity" = 72:76))
answered Nov 12 '18 at 11:56
floefloe
268210
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
add a comment |
expand.grid()` for this issue.
expand.grid creates all possible combinations from sequences 27:29 and 72 to 76.
See this example
expand.grid("Temperature" = 27:29, "Humidity" = 72:76)
This can handed over the function predict like this:
predict(Yourmodel, newdata = expand.grid(Temperature = 27:29, "Humidity" = 72:76))
answered Nov 12 '18 at 11:56
floefloe
268210
expand.grid()` for this issue.
expand.grid creates all possible combinations from sequences 27:29 and 72 to 76.
See this example
expand.grid("Temperature" = 27:29, "Humidity" = 72:76)
This can handed over the function predict like this:
predict(Yourmodel, newdata = expand.grid(Temperature = 27:29, "Humidity" = 72:76))
answered Nov 12 '18 at 11:56
floefloe
268210
edited Nov 12 '18 at 12:05
answered Nov 12 '18 at 11:56
floefloe
268210
answered Nov 12 '18 at 11:56
floefloe
268210
answered Nov 12 '18 at 11:56
floefloe
268210
268210
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
add a comment |
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
I don't know the range. That's what I'm trying to discover in this research.
– April Capistrano
Nov 12 '18 at 12:01
add a comment |
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1
I'm trying to know the range to categorize that this temperature and this humidity is a haze.
– April Capistrano
Nov 12 '18 at 11:55
Can you not just look at the distributions of temp and humidity where your response variable = Haze? I'm not sure why you need to build a model for this.
– Cleland
Nov 12 '18 at 14:12