Trycatch in for loop- continue to next r dataRetrieval
I have a list containing the following site id numbers: sitelist <- c("02074500", "02077200", "208111310", "02081500", "02082950")
I want to use the dataRetrieval package to collect additional information about these sites and save it into individual .csv
files. Site number "208111310"
does not exist, so it returns an error and stops the code.
I want the code to ignore site numbers that do not return data and continue to the next number in sitelist
.
I've tried trycatch in several ways but can't get the correct syntax. Here is my for loop without trycatch.
for (i in sitelist)
test_gage <- readNWISdv(siteNumbers = i,
parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date))
write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
r try-catch
add a comment |
I have a list containing the following site id numbers: sitelist <- c("02074500", "02077200", "208111310", "02081500", "02082950")
I want to use the dataRetrieval package to collect additional information about these sites and save it into individual .csv
files. Site number "208111310"
does not exist, so it returns an error and stops the code.
I want the code to ignore site numbers that do not return data and continue to the next number in sitelist
.
I've tried trycatch in several ways but can't get the correct syntax. Here is my for loop without trycatch.
for (i in sitelist)
test_gage <- readNWISdv(siteNumbers = i,
parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date))
write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
r try-catch
add a comment |
I have a list containing the following site id numbers: sitelist <- c("02074500", "02077200", "208111310", "02081500", "02082950")
I want to use the dataRetrieval package to collect additional information about these sites and save it into individual .csv
files. Site number "208111310"
does not exist, so it returns an error and stops the code.
I want the code to ignore site numbers that do not return data and continue to the next number in sitelist
.
I've tried trycatch in several ways but can't get the correct syntax. Here is my for loop without trycatch.
for (i in sitelist)
test_gage <- readNWISdv(siteNumbers = i,
parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date))
write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
r try-catch
I have a list containing the following site id numbers: sitelist <- c("02074500", "02077200", "208111310", "02081500", "02082950")
I want to use the dataRetrieval package to collect additional information about these sites and save it into individual .csv
files. Site number "208111310"
does not exist, so it returns an error and stops the code.
I want the code to ignore site numbers that do not return data and continue to the next number in sitelist
.
I've tried trycatch in several ways but can't get the correct syntax. Here is my for loop without trycatch.
for (i in sitelist)
test_gage <- readNWISdv(siteNumbers = i,
parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date))
write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
r try-catch
r try-catch
edited Nov 13 '18 at 3:37
prosoitos
935419
935419
asked Nov 13 '18 at 2:35
HeyBalesHeyBales
84
84
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1 Answer
1
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votes
You can use the variable error in the function trycatch to specify what happened when an error occurs and store the return value using operator <<-.
for (i in sitelist)
test_gage <- NULL
trycatch(error=function(message)
test_gage <<- readNWISdv(siteNumbers = i,parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date)) write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
If you want to catch the warnings also just give a second argument to trycatch.
trycatch(error=function(),warning=function())
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
You can use the variable error in the function trycatch to specify what happened when an error occurs and store the return value using operator <<-.
for (i in sitelist)
test_gage <- NULL
trycatch(error=function(message)
test_gage <<- readNWISdv(siteNumbers = i,parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date)) write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
If you want to catch the warnings also just give a second argument to trycatch.
trycatch(error=function(),warning=function())
add a comment |
You can use the variable error in the function trycatch to specify what happened when an error occurs and store the return value using operator <<-.
for (i in sitelist)
test_gage <- NULL
trycatch(error=function(message)
test_gage <<- readNWISdv(siteNumbers = i,parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date)) write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
If you want to catch the warnings also just give a second argument to trycatch.
trycatch(error=function(),warning=function())
add a comment |
You can use the variable error in the function trycatch to specify what happened when an error occurs and store the return value using operator <<-.
for (i in sitelist)
test_gage <- NULL
trycatch(error=function(message)
test_gage <<- readNWISdv(siteNumbers = i,parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date)) write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
If you want to catch the warnings also just give a second argument to trycatch.
trycatch(error=function(),warning=function())
You can use the variable error in the function trycatch to specify what happened when an error occurs and store the return value using operator <<-.
for (i in sitelist)
test_gage <- NULL
trycatch(error=function(message)
test_gage <<- readNWISdv(siteNumbers = i,parameterCd = pCode)
df = test_gage
df = subset(df, select= c(site_no, Date, X_00060_00003))
names(df)[3] <- c("flow in m3/s")
df$Year <- as.character(year(df$Date)) write.csv(df, paste0("./gage_flow/",i,".csv"), row.names = F)
rm(list=setdiff(ls(),c("sitelist", "pCode")))
If you want to catch the warnings also just give a second argument to trycatch.
trycatch(error=function(),warning=function())
answered Nov 13 '18 at 3:39
CsdCsd
31819
31819
add a comment |
add a comment |
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