Compute Seasonal TSS Medians without fancy ROS or bootstrapping

Load the data


In [1]:
library("dplyr")
library("readr")


Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Compute the medians for each season


In [2]:
medians <- readr::read_csv("NSQD_Res_TSS.csv") %>% 
    dplyr::group_by(parameter, units, season) %>% 
    summarize(median(res))

medians


Out[2]:
parameterunitsseasonmedian(res)
1Total Suspended Solidsmg/Lautumn55
2Total Suspended Solidsmg/Lspring100
3Total Suspended Solidsmg/Lsummer93
4Total Suspended Solidsmg/Lwinter92