## [1] "All packages loaded successfully"
Raw Data files were processed by Anna Robuck and peak area counts shared in file 20230626_PrelimDataCleanUp4Jackie.csv
Deriving quant and semi-quant values using Shirley Pu’s expertise and code in the next Markdown chunk.
Now that we have the quant and semi-quanted values created for the seabird tissue data, we read in data.
## New names:
## • `` -> `...1`
Now that the data is all read into R, we can start looking at the data.
Most basic summary of detects above the method reporting limit (MRL) for Seabird data.
Compound | n | >MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|
Nafion_byproduct_6 | 81 | 14.81 | 0 | 0.00 | 0.00 | 0.00 | 0.01 |
PFO5DA | 93 | 96.77 | 0 | 0.06 | 0.10 | 0.20 | 1.02 |
PFO6 | 93 | 96.77 | 0 | 0.03 | 0.05 | 0.11 | 0.65 |
PFO7 | 89 | 55.06 | 0 | 0.00 | 0.01 | 0.02 | 0.14 |
PFO8 | 81 | 3.70 | 0 | 0.00 | 0.00 | 0.00 | 0.01 |
Looking at PFAS levels across seabird tissues. Values are graphed on a log scale. Values under MRL are not included in this boxplot.
#Tissue Blood Ratios (TBRs)
Looking at tissue to blood ratios (TBR) to understand how PFO6 distributes across seabird organs. The dotted line is one to one line.
Want to know if TBRs for PFO6 are statistically different than 1.
##
## One Sample t-test
##
## data: tbr6_hb$Restimate
## t = 2.3663, df = 8, p-value = 0.04551
## alternative hypothesis: true mean is not equal to 1
## 95 percent confidence interval:
## 1.036836 3.856726
## sample estimates:
## mean of x
## 2.446781
##
## One Sample t-test
##
## data: tbr6_kb$Restimate
## t = 2.0703, df = 6, p-value = 0.08385
## alternative hypothesis: true mean is not equal to 1
## 95 percent confidence interval:
## 0.7598959 3.8798047
## sample estimates:
## mean of x
## 2.31985
##
## One Sample t-test
##
## data: tbr6_lb$Restimate
## t = 1.4436, df = 8, p-value = 0.1868
## alternative hypothesis: true mean is not equal to 1
## 95 percent confidence interval:
## 0.6140726 2.6779167
## sample estimates:
## mean of x
## 1.645995
##
## One Sample t-test
##
## data: tbr6_lub$Restimate
## t = 0.59941, df = 6, p-value = 0.5708
## alternative hypothesis: true mean is not equal to 1
## 95 percent confidence interval:
## 0.4877713 1.8446040
## sample estimates:
## mean of x
## 1.166188
##
## One Sample t-test
##
## data: tbr6_bb$Restimate
## t = -5.5144, df = 7, p-value = 0.0008928
## alternative hypothesis: true mean is not equal to 1
## 95 percent confidence interval:
## 0.1836605 0.6736552
## sample estimates:
## mean of x
## 0.4286579
Test to see if TBRs for PFO7 statistically are similar to PFO6 TBRs.
Run K-S test to see if PFO7 TBRs are statistically similar to PFO6 TBRs. Look within each ratio category. Only 5 TBR groupings have both PFO7 and PFO6 points to tests.
##
## Exact two-sample Kolmogorov-Smirnov test
##
## data: Restimate by Compound
## D = 0.77778, p-value = 0.2182
## alternative hypothesis: two-sided
##
## Exact two-sample Kolmogorov-Smirnov test
##
## data: Restimate by Compound
## D = 0.41667, p-value = 0.6182
## alternative hypothesis: two-sided
##
## Exact two-sample Kolmogorov-Smirnov test
##
## data: Restimate by Compound
## D = 1, p-value = 0.25
## alternative hypothesis: two-sided
##
## Exact two-sample Kolmogorov-Smirnov test
##
## data: Restimate by Compound
## D = 0.85714, p-value = 0.5
## alternative hypothesis: two-sided
##
## Exact two-sample Kolmogorov-Smirnov test
##
## data: Restimate by Compound
## D = 0.44444, p-value = 0.7091
## alternative hypothesis: two-sided
Summary of the data for seabird data for inclusion in the manuscript.
Compound | Tissue | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|---|
Nafion_byproduct_6 | Blood | 10 | 10.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 |
Nafion_byproduct_6 | Brain | 12 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Nafion_byproduct_6 | Fat | 6 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Nafion_byproduct_6 | Heart | 12 | 25.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Nafion_byproduct_6 | Kidney | 8 | 12.50 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Nafion_byproduct_6 | Liver | 13 | 30.77 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Nafion_byproduct_6 | Lungs | 7 | 14.29 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Nafion_byproduct_6 | Muscle | 13 | 15.38 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO5DA | Blood | 14 | 100.00 | 0.06 | 0.09 | 0.11 | 0.20 | 1.02 |
PFO5DA | Brain | 12 | 100.00 | 0.01 | 0.03 | 0.05 | 0.10 | 0.33 |
PFO5DA | Fat | 6 | 50.00 | 0.00 | 0.00 | 0.02 | 0.07 | 0.17 |
PFO5DA | Heart | 12 | 100.00 | 0.05 | 0.10 | 0.22 | 0.27 | 0.48 |
PFO5DA | Kidney | 8 | 100.00 | 0.04 | 0.13 | 0.19 | 0.28 | 0.71 |
PFO5DA | Liver | 21 | 100.00 | 0.06 | 0.09 | 0.09 | 0.19 | 0.35 |
PFO5DA | Lungs | 7 | 100.00 | 0.07 | 0.10 | 0.14 | 0.30 | 0.35 |
PFO5DA | Muscle | 13 | 100.00 | 0.03 | 0.05 | 0.08 | 0.15 | 0.30 |
PFO6 | Blood | 14 | 100.00 | 0.02 | 0.03 | 0.04 | 0.06 | 0.65 |
PFO6 | Brain | 12 | 100.00 | 0.01 | 0.01 | 0.02 | 0.03 | 0.12 |
PFO6 | Fat | 6 | 50.00 | 0.00 | 0.00 | 0.01 | 0.02 | 0.09 |
PFO6 | Heart | 12 | 100.00 | 0.02 | 0.07 | 0.14 | 0.20 | 0.28 |
PFO6 | Kidney | 8 | 100.00 | 0.01 | 0.05 | 0.07 | 0.13 | 0.31 |
PFO6 | Liver | 21 | 100.00 | 0.04 | 0.05 | 0.06 | 0.11 | 0.21 |
PFO6 | Lungs | 7 | 100.00 | 0.03 | 0.05 | 0.07 | 0.13 | 0.16 |
PFO6 | Muscle | 13 | 100.00 | 0.02 | 0.02 | 0.03 | 0.06 | 0.20 |
PFO7 | Blood | 10 | 40.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.10 |
PFO7 | Brain | 12 | 16.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO7 | Fat | 6 | 16.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.14 |
PFO7 | Heart | 12 | 83.33 | 0.00 | 0.01 | 0.02 | 0.03 | 0.05 |
PFO7 | Kidney | 8 | 75.00 | 0.00 | 0.00 | 0.01 | 0.01 | 0.04 |
PFO7 | Liver | 21 | 100.00 | 0.01 | 0.01 | 0.01 | 0.02 | 0.04 |
PFO7 | Lungs | 7 | 28.57 | 0.00 | 0.00 | 0.00 | 0.01 | 0.02 |
PFO7 | Muscle | 13 | 23.08 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 |
PFO8 | Blood | 10 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO8 | Brain | 12 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO8 | Fat | 6 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO8 | Heart | 12 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO8 | Kidney | 8 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO8 | Liver | 13 | 23.08 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 |
PFO8 | Lungs | 7 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
PFO8 | Muscle | 13 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Looking at seabird data normality for both non-logged data and log transformed data.
Neither are normal so will use parametric tests.
##
## Shapiro-Wilk normality test
##
## data: data$estimate
## W = 0.54218, p-value < 2.2e-16
##
## Shapiro-Wilk normality test
##
## data: data1$newlogspace
## W = 0.71345, p-value < 2.2e-16
Run Kruskal Wallis and Dunn tests to get compact letter display (grouping). Currently have results hidden since it prints out a very long table.
Only running stats on PFO6 in Seabird data since no other PFAS was detected above 75% of tissue samples.
##
## Kruskal-Wallis rank sum test
##
## data: newestimate by TxC
## Kruskal-Wallis chi-squared = 275.71, df = 31, p-value < 2.2e-16
Now plot the CLD results over top of the PFO6 data to visualize.
Running correlations on PFO5 to PFO6 in seabird data. Other compounds not detected often enough for Corr analysis.
##
## Kendall's rank correlation tau
##
## data: Cor_dataPF_graph$PFO5DoDA and Cor_dataPF_graph$PFO6
## z = 9.7635, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.7915493
Now switching gears from Seabird data to the species serum comparison data
##
## 0 2 3 4
## 1848 92 500 24
Cmp | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|
PFO6 | 154 | 28.57 | 0 | 0 | 0 | 2.27 | 34.57 |
PFO7 | 154 | 24.68 | 0 | 0 | 0 | 0.00 | 32.78 |
PFO8 | 154 | 7.14 | 0 | 0 | 0 | 0.00 | 35.94 |
Animal | Cmp | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|---|
Alligator | PFO6 | 65 | 46.15 | 0 | 0 | 0.00 | 4.39 | 34.57 |
Alligator | PFO7 | 65 | 35.38 | 0 | 0 | 0.00 | 1.40 | 7.59 |
Alligator | PFO8 | 65 | 1.54 | 0 | 0 | 0.00 | 0.00 | 1.59 |
Bass | PFO6 | 29 | 48.28 | 0 | 0 | 0.00 | 9.28 | 20.67 |
Bass | PFO7 | 29 | 51.72 | 0 | 0 | 0.56 | 10.47 | 32.78 |
Bass | PFO8 | 29 | 34.48 | 0 | 0 | 0.00 | 7.57 | 35.94 |
Dog | PFO6 | 28 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Dog | PFO7 | 28 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Dog | PFO8 | 28 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Horse | PFO6 | 32 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Horse | PFO7 | 32 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Horse | PFO8 | 32 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Animal | Site | Cmp | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|---|---|
Alligator | CFR | PFO6 | 41 | 65.85 | 0.00 | 0.00 | 2.54 | 8.29 | 34.57 |
Alligator | CFR | PFO7 | 41 | 51.22 | 0.00 | 0.00 | 0.56 | 2.23 | 7.59 |
Alligator | CFR | PFO8 | 41 | 2.44 | 0.00 | 0.00 | 0.00 | 0.00 | 1.59 |
Alligator | LW | PFO6 | 24 | 12.50 | 0.00 | 0.00 | 0.00 | 0.00 | 6.98 |
Alligator | LW | PFO7 | 24 | 8.33 | 0.00 | 0.00 | 0.00 | 0.00 | 2.00 |
Alligator | LW | PFO8 | 24 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Bass | CFR | PFO6 | 11 | 90.91 | 0.00 | 8.96 | 12.36 | 16.88 | 20.67 |
Bass | CFR | PFO7 | 11 | 100.00 | 0.62 | 8.97 | 18.72 | 25.65 | 32.78 |
Bass | CFR | PFO8 | 11 | 90.91 | 0.00 | 7.24 | 9.97 | 20.85 | 35.94 |
Bass | ROANOKE | PFO6 | 18 | 22.22 | 0.00 | 0.00 | 0.00 | 0.00 | 3.05 |
Bass | ROANOKE | PFO7 | 18 | 22.22 | 0.00 | 0.00 | 0.00 | 0.00 | 0.95 |
Bass | ROANOKE | PFO8 | 18 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Animal | Site | Cmp | Sex | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|---|---|---|
Alligator | CFR | PFO6 | F | 17 | 70.59 | 0 | 0 | 2.54 | 4.99 | 20.05 |
Alligator | CFR | PFO6 | M | 24 | 62.50 | 0 | 0 | 2.71 | 9.05 | 34.57 |
Alligator | CFR | PFO7 | F | 17 | 52.94 | 0 | 0 | 0.56 | 1.65 | 5.87 |
Alligator | CFR | PFO7 | M | 24 | 50.00 | 0 | 0 | 0.45 | 2.38 | 7.59 |
Alligator | CFR | PFO8 | F | 17 | 0.00 | 0 | 0 | 0.00 | 0.00 | 0.00 |
Alligator | CFR | PFO8 | M | 24 | 4.17 | 0 | 0 | 0.00 | 0.00 | 1.59 |
Animal | Site | Cmp | SEX | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|---|---|---|
Bass | CFR | PFO6 | F | 1 | 100 | 16.29 | 16.29 | 16.29 | 16.29 | 16.29 |
Bass | CFR | PFO6 | M | 10 | 90 | 0.00 | 8.80 | 11.39 | 17.06 | 20.67 |
Bass | CFR | PFO7 | F | 1 | 100 | 13.61 | 13.61 | 13.61 | 13.61 | 13.61 |
Bass | CFR | PFO7 | M | 10 | 100 | 0.62 | 8.22 | 21.28 | 25.98 | 32.78 |
Bass | CFR | PFO8 | F | 1 | 100 | 9.97 | 9.97 | 9.97 | 9.97 | 9.97 |
Bass | CFR | PFO8 | M | 10 | 90 | 0.00 | 7.08 | 10.59 | 20.86 | 35.94 |
Animal | Site | Cmp | n | %>MRL | Min | 25th | Median | 75th | Max |
---|---|---|---|---|---|---|---|---|---|
Bass | CFR | PFO6 | 11 | 90.91 | 0.00 | 8.96 | 12.36 | 16.88 | 20.67 |
Bass | CFR | PFO7 | 11 | 100.00 | 0.62 | 8.97 | 18.72 | 25.65 | 32.78 |
Bass | CFR | PFO8 | 11 | 90.91 | 0.00 | 7.24 | 9.97 | 20.85 | 35.94 |
Looks at RSDs across the non-censored PFAS data.
## `geom_smooth()` using formula = 'y ~ x'
We have one gator who is missing metadata and is labeled as site =
NA. this will get fixed when I am able to get the information from Scott
Belcher.
##
## Wilcoxon rank sum test with continuity correction
##
## data: mean_estimate_censored by Sex
## W = 197.5, p-value = 0.8713
## alternative hypothesis: true location shift is not equal to 0
Want to test if the levels of the PFAS are different between fish and gator at the CFR site.
First need to look at data normality then run KW and Dunn test.
##
## Shapiro-Wilk normality test
##
## data: fgdata$mean_estimate_censored
## W = 0.68483, p-value < 2.2e-16
##
## Kruskal-Wallis rank sum test
##
## data: mean_estimate_censored by SxC
## Kruskal-Wallis chi-squared = 83.783, df = 5, p-value < 2.2e-16
## Dunn (1964) Kruskal-Wallis multiple comparison
## p-values adjusted with the Bonferroni method.
## Comparison Z P.unadj P.adj
## 1 AlligatorPFO6 - AlligatorPFO7 2.28215483 2.248020e-02 3.372030e-01
## 2 AlligatorPFO6 - AlligatorPFO8 5.25311494 1.495481e-07 2.243222e-06
## 3 AlligatorPFO7 - AlligatorPFO8 2.97096011 2.968703e-03 4.453055e-02
## 4 AlligatorPFO6 - BassPFO6 -2.48475504 1.296406e-02 1.944609e-01
## 5 AlligatorPFO7 - BassPFO6 -3.96916813 7.212398e-05 1.081860e-03
## 6 AlligatorPFO8 - BassPFO6 -5.90161022 3.599708e-09 5.399562e-08
## 7 AlligatorPFO6 - BassPFO7 -3.12436832 1.781873e-03 2.672809e-02
## 8 AlligatorPFO7 - BassPFO7 -4.60878141 4.050359e-06 6.075538e-05
## 9 AlligatorPFO8 - BassPFO7 -6.54122350 6.101756e-11 9.152634e-10
## 10 BassPFO6 - BassPFO7 -0.50934520 6.105103e-01 1.000000e+00
## 11 AlligatorPFO6 - BassPFO8 -2.40913573 1.599035e-02 2.398552e-01
## 12 AlligatorPFO7 - BassPFO8 -3.89354882 9.878831e-05 1.481825e-03
## 13 AlligatorPFO8 - BassPFO8 -5.82599092 5.677470e-09 8.516206e-08
## 14 BassPFO6 - BassPFO8 0.06021815 9.519819e-01 1.000000e+00
## 15 BassPFO7 - BassPFO8 0.56956335 5.689739e-01 1.000000e+00
Going to look at correlations for PFO6/7/8 in fish since there is a high detection frequency. Correlations between PFO5DA and PFO6 is not possible for the species serum comparison.
##
## Kendall's rank correlation tau
##
## data: cor_fdataPF_graph$PFO6 and cor_fdataPF_graph$PFO7
## T = 39, p-value = 0.002213
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.7333333
##
## Kendall's rank correlation tau
##
## data: cor_fdataPF_graph$PFO7 and cor_fdataPF_graph$PFO8
## T = 38, p-value = 0.004687
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.6888889
##
## Kendall's rank correlation tau
##
## data: cor_fdataPF_graph$PFO6 and cor_fdataPF_graph$PFO8
## T = 34, p-value = 0.04662
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.5111111