R Dataset / Package robustbase / NOxEmissions

On this R-data statistics page, you will find information about the NOxEmissions data set which pertains to NOx Air Pollution Data. The NOxEmissions data set is found in the robustbase R package. You can load the NOxEmissions data set in R by issuing the following command at the console data("NOxEmissions"). This will load the data into a variable called NOxEmissions. If R says the NOxEmissions data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the NOxEmissions R data set. The size of this file is about 458,290 bytes.

NOx Air Pollution Data

Description

A typical medium sized environmental data set with hourly measurements of NOx pollution content in the ambient air.

Usage

data(NOxEmissions)

Format

A data frame with 8088 observations on the following 4 variables.

julday: day number, a factor with levels 373 ... 730, typically with 24 hourly measurements.
LNOx: \log of hourly mean of NOx concentration in ambient air [ppb] next to a highly frequented motorway.
LNOxEm: \log of hourly sum of NOx emission of cars on this motorway in arbitrary units.
sqrtWS: Square root of wind speed [m/s].

Details

The original data set had more observations, but with missing values. Here, all cases with missing values were omitted (na.omit(.)), and then only those were retained that belonged to days with at least 20 (fully) observed hourly measurements.

Source

René Locher (at ZHAW, Switzerland).

Examples

data(NOxEmissions)
plot(LNOx ~ LNOxEm, data = NOxEmissions, cex = 0.25, col = "gray30")## Not run: ## these take too much time --
 ## p = 340==> already Least Squares is not fast
 (lmNOx <- lm(LNOx ~ . ,data = NOxEmissions))
 plot(lmNOx) #->indication of 1 outlier M.NOx <- MASS::rlm(LNOx ~ . , data = NOxEmissions)
 ## M-estimation works
 ## whereasMM-estimation fails:
 try(MM.NOx <- MASS::rlm(LNOx ~ . , data = NOxEmissions, method = "MM"))
 ## namely because S-estimation fails:
 try(lts.NOx <- ltsReg(LNOx ~ . , data = NOxEmissions))
 try(lmR.NOx <- lmrob (LNOx ~ . , data = NOxEmissions))## End(Not run)

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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