How to calculate the average of random data in R
-1
I'm new to R. I have a large file with multiple columns and I've been asked to split the data into 2 parts. I have R split the data randomly by 70% into a group called nTrain, and 30% into a group called nTest.
I was able to split the data randomly, but I now need to calculate the AVERAGE of a specific column in the 70% random data and do the same for the 30% random data. Can someone please explain how to do so?
Thanks.
If it helps understand my situation, this is what I have so far in R:
length(DataFile)
(nData=nrow(DataFile))
DataFile
set.seed(0)
(trainIdx<- sample(seq(1,nrow(DataFile)), floor(nrow(DataFile)*0.70)))
> (nTrain=length(trainIdx))
[1] 15129
> (nTest=nData-nTrain)
[1] 6484
r
edited Nov 24 '18 at 12:40
Roman
2,0891531
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
add a comment |
-1
I'm new to R. I have a large file with multiple columns and I've been asked to split the data into 2 parts. I have R split the data randomly by 70% into a group called nTrain, and 30% into a group called nTest.
I was able to split the data randomly, but I now need to calculate the AVERAGE of a specific column in the 70% random data and do the same for the 30% random data. Can someone please explain how to do so?
Thanks.
If it helps understand my situation, this is what I have so far in R:
length(DataFile)
(nData=nrow(DataFile))
DataFile
set.seed(0)
(trainIdx<- sample(seq(1,nrow(DataFile)), floor(nrow(DataFile)*0.70)))
> (nTrain=length(trainIdx))
[1] 15129
> (nTest=nData-nTrain)
[1] 6484
r
edited Nov 24 '18 at 12:40
Roman
2,0891531
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 24 '18 at 8:00
Thanks for the advice Ronak. I will read the info on how to ask a good question and how to give a reproducible example.
– R Newbie
Nov 25 '18 at 6:28
add a comment |
-1
-1
-1
1
I'm new to R. I have a large file with multiple columns and I've been asked to split the data into 2 parts. I have R split the data randomly by 70% into a group called nTrain, and 30% into a group called nTest.
I was able to split the data randomly, but I now need to calculate the AVERAGE of a specific column in the 70% random data and do the same for the 30% random data. Can someone please explain how to do so?
Thanks.
If it helps understand my situation, this is what I have so far in R:
length(DataFile)
(nData=nrow(DataFile))
DataFile
set.seed(0)
(trainIdx<- sample(seq(1,nrow(DataFile)), floor(nrow(DataFile)*0.70)))
> (nTrain=length(trainIdx))
[1] 15129
> (nTest=nData-nTrain)
[1] 6484
r
edited Nov 24 '18 at 12:40
Roman
2,0891531
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
I'm new to R. I have a large file with multiple columns and I've been asked to split the data into 2 parts. I have R split the data randomly by 70% into a group called nTrain, and 30% into a group called nTest.
I was able to split the data randomly, but I now need to calculate the AVERAGE of a specific column in the 70% random data and do the same for the 30% random data. Can someone please explain how to do so?
Thanks.
If it helps understand my situation, this is what I have so far in R:
length(DataFile)
(nData=nrow(DataFile))
DataFile
set.seed(0)
(trainIdx<- sample(seq(1,nrow(DataFile)), floor(nrow(DataFile)*0.70)))
> (nTrain=length(trainIdx))
[1] 15129
> (nTest=nData-nTrain)
[1] 6484
r
r
edited Nov 24 '18 at 12:40
Roman
2,0891531
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
edited Nov 24 '18 at 12:40
Roman
2,0891531
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
edited Nov 24 '18 at 12:40
Roman
2,0891531
edited Nov 24 '18 at 12:40
Roman
2,0891531
edited Nov 24 '18 at 12:40
Roman
2,0891531
2,0891531
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
asked Nov 24 '18 at 6:53
R NewbieR Newbie
61
61
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 24 '18 at 8:00
Thanks for the advice Ronak. I will read the info on how to ask a good question and how to give a reproducible example.
– R Newbie
Nov 25 '18 at 6:28
add a comment |
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 24 '18 at 8:00
Thanks for the advice Ronak. I will read the info on how to ask a good question and how to give a reproducible example.
– R Newbie
Nov 25 '18 at 6:28
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 24 '18 at 8:00
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 24 '18 at 8:00
Thanks for the advice Ronak. I will read the info on how to ask a good question and how to give a reproducible example.
– R Newbie
Nov 25 '18 at 6:28
Thanks for the advice Ronak. I will read the info on how to ask a good question and how to give a reproducible example.
– R Newbie
Nov 25 '18 at 6:28
add a comment |
1 Answer
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oldest
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0
Welcome to Stackoverflow!
- In
Rconvention you should stick to the<-operator for most types of assigments (you can find more info here
and
here). - The code/output you posted is incomplete, really (e.g., the output after the first line,
length(DataFile), is missing).
Let's go through this step by step.
1. Create mock data
set.seed(1701)
DataFile <- sample(seq(0, 1, 0.01), 10000, replace = TRUE)
2. Create a dataset
# This randomizes the order
DataSet <- sample(DataFile)
3. Split Train and Test
split <- length(DataSet) * 0.7
# You use length() for one-dimensional objects, and
# nrow() for matrices, tables, etc.
DataTrain <- head(DataSet, split)
DataTest <- tail(DataSet, length(DataSet) - split)
# This approach avoids rounding errors when splitting and
# as our dataset is already randomized we can sample linearly.
4. Calculate average
> mean(DataTrain)
[1] 0.5029891
> mean(DataTest)
[1] 0.496056
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
Can you post adput(head(data))into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.
– Roman
Nov 25 '18 at 1:42
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
add a comment |
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Welcome to Stackoverflow!
- In
Rconvention you should stick to the<-operator for most types of assigments (you can find more info here
and
here). - The code/output you posted is incomplete, really (e.g., the output after the first line,
length(DataFile), is missing).
Let's go through this step by step.
1. Create mock data
set.seed(1701)
DataFile <- sample(seq(0, 1, 0.01), 10000, replace = TRUE)
2. Create a dataset
# This randomizes the order
DataSet <- sample(DataFile)
3. Split Train and Test
split <- length(DataSet) * 0.7
# You use length() for one-dimensional objects, and
# nrow() for matrices, tables, etc.
DataTrain <- head(DataSet, split)
DataTest <- tail(DataSet, length(DataSet) - split)
# This approach avoids rounding errors when splitting and
# as our dataset is already randomized we can sample linearly.
4. Calculate average
> mean(DataTrain)
[1] 0.5029891
> mean(DataTest)
[1] 0.496056
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
Can you post adput(head(data))into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.
– Roman
Nov 25 '18 at 1:42
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
add a comment |
0
Welcome to Stackoverflow!
- In
Rconvention you should stick to the<-operator for most types of assigments (you can find more info here
and
here). - The code/output you posted is incomplete, really (e.g., the output after the first line,
length(DataFile), is missing).
Let's go through this step by step.
1. Create mock data
set.seed(1701)
DataFile <- sample(seq(0, 1, 0.01), 10000, replace = TRUE)
2. Create a dataset
# This randomizes the order
DataSet <- sample(DataFile)
3. Split Train and Test
split <- length(DataSet) * 0.7
# You use length() for one-dimensional objects, and
# nrow() for matrices, tables, etc.
DataTrain <- head(DataSet, split)
DataTest <- tail(DataSet, length(DataSet) - split)
# This approach avoids rounding errors when splitting and
# as our dataset is already randomized we can sample linearly.
4. Calculate average
> mean(DataTrain)
[1] 0.5029891
> mean(DataTest)
[1] 0.496056
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
Can you post adput(head(data))into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.
– Roman
Nov 25 '18 at 1:42
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
add a comment |
0
0
0
Welcome to Stackoverflow!
- In
Rconvention you should stick to the<-operator for most types of assigments (you can find more info here
and
here). - The code/output you posted is incomplete, really (e.g., the output after the first line,
length(DataFile), is missing).
Let's go through this step by step.
1. Create mock data
set.seed(1701)
DataFile <- sample(seq(0, 1, 0.01), 10000, replace = TRUE)
2. Create a dataset
# This randomizes the order
DataSet <- sample(DataFile)
3. Split Train and Test
split <- length(DataSet) * 0.7
# You use length() for one-dimensional objects, and
# nrow() for matrices, tables, etc.
DataTrain <- head(DataSet, split)
DataTest <- tail(DataSet, length(DataSet) - split)
# This approach avoids rounding errors when splitting and
# as our dataset is already randomized we can sample linearly.
4. Calculate average
> mean(DataTrain)
[1] 0.5029891
> mean(DataTest)
[1] 0.496056
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
Welcome to Stackoverflow!
- In
Rconvention you should stick to the<-operator for most types of assigments (you can find more info here
and
here). - The code/output you posted is incomplete, really (e.g., the output after the first line,
length(DataFile), is missing).
Let's go through this step by step.
1. Create mock data
set.seed(1701)
DataFile <- sample(seq(0, 1, 0.01), 10000, replace = TRUE)
2. Create a dataset
# This randomizes the order
DataSet <- sample(DataFile)
3. Split Train and Test
split <- length(DataSet) * 0.7
# You use length() for one-dimensional objects, and
# nrow() for matrices, tables, etc.
DataTrain <- head(DataSet, split)
DataTest <- tail(DataSet, length(DataSet) - split)
# This approach avoids rounding errors when splitting and
# as our dataset is already randomized we can sample linearly.
4. Calculate average
> mean(DataTrain)
[1] 0.5029891
> mean(DataTest)
[1] 0.496056
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
edited Nov 24 '18 at 12:52
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
answered Nov 24 '18 at 10:35
RomanRoman
2,0891531
2,0891531
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
Can you post adput(head(data))into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.
– Roman
Nov 25 '18 at 1:42
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
add a comment |
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
Can you post adput(head(data))into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.
– Roman
Nov 25 '18 at 1:42
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
Thanks Roman for the step-by-step instructions. I will try your process and let you know if I can get it to work.
– R Newbie
Nov 25 '18 at 1:09
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
the file that I'm pulling the data from has 20 columns with headers. I need to pull the average of only 1 of the columns, for only 70% of the data. Can you explain how I can do this? I appreciate your help!
– R Newbie
Nov 25 '18 at 1:38
Can you post a
dput(head(data)) into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.– Roman
Nov 25 '18 at 1:42
Can you post a
dput(head(data)) into your original post and specify the column? As a general approach, @AdamB showed the right method if you work with table-shaped data.– Roman
Nov 25 '18 at 1:42
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
I was able to solve my issue! Thanks Roman!
– R Newbie
Nov 25 '18 at 2:08
add a comment |
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Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 24 '18 at 8:00
Thanks for the advice Ronak. I will read the info on how to ask a good question and how to give a reproducible example.
– R Newbie
Nov 25 '18 at 6:28