knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
To begin, we’ll load foqat and show three datasets in foqat:
voc is a dataset about time series of volatile organic compounds with 1-hour resolution.
library(foqat) head(voc)
vocct() allows you to convert unit of VOCs between micrograms per cubic meter (ugm) and parts per billion by volume (ppbv); conduct statistics of VOC concentrations.
You need to set unit into "ugm" or "ppbv". "ugm" means ug m~-3~. "ppbv" means part per billion volumn.
voc_con=vocct(voc, unit = "ppbv") summary(voc_con)
MW_Result is the matched Molecular Weight (MW) value results.
voc_con[["MW_Result"]]
Con_ugm is time series of VOC mass concentrations by species.
head(voc_con[["Con_ugm"]])
Con_ugm_stat is the statistics of VOC mass concentration by species.
voc_con[["Con_ugm_stat"]]
Con_ugm_group is the time series of VOC mass concentration classified by groups.
head(voc_con[["Con_ugm_group"]])
Con_ugm_group_stat is the statistics of VOC mass concentration according to major groups.
voc_con[["Con_ugm_group_stat"]]
Con_ppbv is the time series of VOC volume concentration by species.
head(voc_con[["Con_ppbv"]])
Con_ppbv_stat is the statistics of VOC volume concentration by species.
voc_con[["Con_ppbv_stat"]]
Con_ppbv_group is the time series of VOC volume concentration according to major groups.
head(voc_con[["Con_ppbv_group"]])
Con_ppbv_group_stat is the time series of VOC volume concentration classified by groups.
voc_con[["Con_ppbv_group_stat"]]
The ofp() allows you to statistics time series:
voc_ofp=ofp(voc) summary(voc_ofp)
MIR_Result is the matched MIR value results.
voc_ofp[["MIR_Result"]]
OFP_Result is the OFP time series of VOC by species.
head(voc_ofp[["OFP_Result"]])
OFP_Result_stat is the statistics of OFP of VOC by species.
voc_ofp[["OFP_Result_stat"]]
OFP_Result_group is the time series of VOC classified by groups.
head(voc_ofp[["OFP_Result_group"]])
OFP_Result_group_stat is the statistics of OFP of VOC according to major groups.
voc_ofp[["OFP_Result_group_stat"]]
The loh() allows you to statistics time series:
voc_loh=loh(voc) summary(voc_loh)
KOH_Result is the matched KOH value results.
voc_loh[["KOH_Result"]]
LOH_Result is the LOH time series of VOC by species.
head(voc_loh[["LOH_Result"]])
LOH_Result_stat is the statistics of LOH of VOC by species.
voc_loh[["LOH_Result_stat"]]
LOH_Result_group is the LOH time series of VOC classified by groups.
head(voc_loh[["LOH_Result_group"]])
LOH_Result_group_stat is the statistics of LOH of VOC according to major groups.
voc_loh[["LOH_Result_group_stat"]]
The koh() allows you Searches K~OH~ value from 'chemspider.com'.
koh("propene") #> [1] "propene 26.4360E-12 cm3/molecule-sec (25 deg C) [AopWin v1.92]"
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