Combine filtered data from each files into new data frame
0
I want to filter specific line of data from multiple files and combine it into one data frame, thus that data frame should be growing each time it read new file. My code here able to loop through all the files but only create data frame of the last file. can I get my desired data frame without have to combine all-raw-bulky data from each files first?. Pls advice.
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
}
all.temp <- rbind(dat1_sub,dat2_sub, dat3_sub,dat4_sub)
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
r loops dataframe
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
add a comment |
0
I want to filter specific line of data from multiple files and combine it into one data frame, thus that data frame should be growing each time it read new file. My code here able to loop through all the files but only create data frame of the last file. can I get my desired data frame without have to combine all-raw-bulky data from each files first?. Pls advice.
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
}
all.temp <- rbind(dat1_sub,dat2_sub, dat3_sub,dat4_sub)
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
r loops dataframe
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
add a comment |
0
0
0
I want to filter specific line of data from multiple files and combine it into one data frame, thus that data frame should be growing each time it read new file. My code here able to loop through all the files but only create data frame of the last file. can I get my desired data frame without have to combine all-raw-bulky data from each files first?. Pls advice.
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
}
all.temp <- rbind(dat1_sub,dat2_sub, dat3_sub,dat4_sub)
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
r loops dataframe
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
I want to filter specific line of data from multiple files and combine it into one data frame, thus that data frame should be growing each time it read new file. My code here able to loop through all the files but only create data frame of the last file. can I get my desired data frame without have to combine all-raw-bulky data from each files first?. Pls advice.
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
}
all.temp <- rbind(dat1_sub,dat2_sub, dat3_sub,dat4_sub)
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
r loops dataframe
r loops dataframe
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
asked Nov 23 '18 at 9:52
Siti SalSiti Sal
247
247
add a comment |
add a comment |
1 Answer
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You just need to put the rbind inside the loop, like this:
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
all.temp <- NULL
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
all.temp <- rbind(all.temp, dat1_sub, dat2_sub, dat3_sub, dat4_sub)
}
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
You just need to put the rbind inside the loop, like this:
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
all.temp <- NULL
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
all.temp <- rbind(all.temp, dat1_sub, dat2_sub, dat3_sub, dat4_sub)
}
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
add a comment |
0
You just need to put the rbind inside the loop, like this:
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
all.temp <- NULL
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
all.temp <- rbind(all.temp, dat1_sub, dat2_sub, dat3_sub, dat4_sub)
}
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
add a comment |
0
0
0
You just need to put the rbind inside the loop, like this:
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
all.temp <- NULL
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
all.temp <- rbind(all.temp, dat1_sub, dat2_sub, dat3_sub, dat4_sub)
}
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
You just need to put the rbind inside the loop, like this:
library(dplyr)
library(ggplot2)
library(tidyverse)
y = 1978
N <- 10
all.temp <- NULL
for (i in 1:N) {
yr = y +(as.numeric(i))
yr = as.character(yr)
p <- paste0("c:/Users/Hp/Documents/",yr,".csv")
#read.csv
dat <- read.csv(p,header = TRUE, stringsAsFactors = F)
#filter
dat_sub <- filter(dat, hght_m > 0)
dat_sub <- filter(dat_sub, temp_c > 0)
dat1_sub <- filter(dat_sub, pres_hpa == 1000)
dat2_sub <- filter(dat_sub, pres_hpa == 925)
dat3_sub <- filter(dat_sub, pres_hpa == 850)
dat4_sub <- filter(dat_sub, pres_hpa == 700)
all.temp <- rbind(all.temp, dat1_sub, dat2_sub, dat3_sub, dat4_sub)
}
ggplot(data = all.temp, aes(x= as.Date(date), y = temp_c, group = pres_hpa, color = pres_hpa)) + geom_line()
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
answered Nov 23 '18 at 10:47
feebarsceviciusfeebarscevicius
47926
47926
add a comment |
add a comment |
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