Quick summary of Predicted Crude Protein initial values without fire or ecosite variation for 2023 and 2024 samples.

2023

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   5.003   6.604   7.647   7.867   8.937  14.001

2024

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   4.176   5.876   7.727   7.865   9.933  13.604

The following histograms and plots are Predicted values from a calibration curve created out of GRAMS IQ. Original calibration is taken from 2023 data sent from Midwest Labs. These predicted values are “representative” of the 2023 and 2024 NIRS scans, which have not been sent in for wet chem analysis. There were a total of 88 observations for 2023 and 112 observations for 2024 checked for quality control before being analyzed. Outliers are identified below each boxplot and have been double-checked/referenced from the original data source.

###2023 Predicted Value Dataset

Below are the results from data manipulation to reflect variable comparisons of fire and ecosite during both early and late season (2023).

## # A tibble: 6 × 11
## # Groups:   Ecosite, Month [5]
##   Month Sample          Pred_Value_Protein Fire  Ecosite  Year    Q1    Q3   IQR
##   <fct> <chr>                        <dbl> <chr> <chr>   <dbl> <dbl> <dbl> <dbl>
## 1 June  907_Comp1_June…              10.1  Burn… Silty    2023  6.70  7.76 1.07 
## 2 May   908E_Q4_C3_May…              11.7  Unbu… Steep    2023  9.61 10.3  0.665
## 3 May   910E_Q1_C7_May…               9.65 Unbu… Sandy    2023  7.36  7.83 0.465
## 4 June  912_SP4_June23               10.4  Unbu… Shallow  2023  7.98  8.85 0.867
## 5 May   916_SP1_May23                 7.09 Unbu… Steep    2023  9.61 10.3  0.665
## 6 July  917_Comp2_July…              10.1  Burn… Steep    2023  5.42  6.60 1.18 
## # ℹ 2 more variables: Lower_Bound <dbl>, Upper_Bound <dbl>

## # A tibble: 4 × 11
## # Groups:   Fire, Month [3]
##   Month Sample          Pred_Value_Protein Fire  Ecosite  Year    Q1    Q3   IQR
##   <fct> <chr>                        <dbl> <chr> <chr>   <dbl> <dbl> <dbl> <dbl>
## 1 July  911E_Q1_C6_2mm…              14.0  Unbu… Shallow  2023  5.54  8.39 2.85 
## 2 June  912_SP4_June23               10.4  Unbu… Shallow  2023  6.82  8.05 1.23 
## 3 Sept  915_Comp1_Sept…               5.96 Burn… Steep    2023  6.79  7.09 0.304
## 4 Sept  917_Comp2_Sept…               8.28 Burn… Steep    2023  6.79  7.09 0.304
## # ℹ 2 more variables: Lower_Bound <dbl>, Upper_Bound <dbl>

###2024 Predicted Value Dataset

## # A tibble: 3 × 11
## # Groups:   Ecosite, Month [3]
##   Month Sample         Pred_Value_Protein Fire   Ecosite  Year    Q1    Q3   IQR
##   <fct> <chr>                       <dbl> <chr>  <chr>   <dbl> <dbl> <dbl> <dbl>
## 1 May   914_4_8_May24               13.6  Burned Shallow  2024  8.67 10.3  1.61 
## 2 July  916_2_2_July24               7.55 Unbur… Steep    2024  5.43  6.21 0.779
## 3 May   917_4_6_May24                6.73 Burned Steep    2024  9.52 10.6  1.09 
## # ℹ 2 more variables: Lower_Bound <dbl>, Upper_Bound <dbl>

## # A tibble: 1 × 11
## # Groups:   Fire, Month [1]
##   Month Sample        Pred_Value_Protein Fire   Ecosite  Year    Q1    Q3   IQR
##   <fct> <chr>                      <dbl> <chr>  <chr>   <dbl> <dbl> <dbl> <dbl>
## 1 May   914_4_8_May24               13.6 Burned Shallow  2024  9.09  10.9  1.79
## # ℹ 2 more variables: Lower_Bound <dbl>, Upper_Bound <dbl>

Predicted Value Comparatives 2023-2024

## # A tibble: 3 × 11
## # Groups:   Ecosite, Month [3]
##   Month Sample         Pred_Value_Protein Fire   Ecosite  Year    Q1    Q3   IQR
##   <fct> <chr>                       <dbl> <chr>  <chr>   <dbl> <dbl> <dbl> <dbl>
## 1 May   914_4_8_May24               13.6  Burned Shallow  2024  8.67 10.3  1.61 
## 2 July  916_2_2_July24               7.55 Unbur… Steep    2024  5.43  6.21 0.779
## 3 May   917_4_6_May24                6.73 Burned Steep    2024  9.52 10.6  1.09 
## # ℹ 2 more variables: Lower_Bound <dbl>, Upper_Bound <dbl>

## # A tibble: 2 × 11
## # Groups:   Fire, Year [1]
##   Month Sample          Pred_Value_Protein Fire  Ecosite  Year    Q1    Q3   IQR
##   <chr> <chr>                        <dbl> <chr> <chr>   <dbl> <dbl> <dbl> <dbl>
## 1 July  911E_Q1_C6_2mm…               14.0 Unbu… Shallow  2023  6.64  8.71  2.07
## 2 July  912E_Q4_C8_2mm…               12.1 Unbu… Shallow  2023  6.64  8.71  2.07
## # ℹ 2 more variables: Lower_Bound <dbl>, Upper_Bound <dbl>

Below are the results from data manipulation to reflect variable comparisons of fire and ecosite to predicted crude protein values for 2023 and 2024.

## NULL
## # A tibble: 0 × 11
## # Groups:   Ecosite, Fire [0]
## # ℹ 11 variables: Month <fct>, Sample <chr>, Pred_Value_Protein <dbl>,
## #   Fire <chr>, Ecosite <chr>, Year <dbl>, Q1 <dbl>, Q3 <dbl>, IQR <dbl>,
## #   Lower_Bound <dbl>, Upper_Bound <dbl>