Read the data file. The file cleanData.csv is read and stored in a Dataframe called BandingData.
BandingData <- read.csv("cleanData.csv", header = TRUE, stringsAsFactors = FALSE)Creating Subset Dataframes for each of the 5 Species.
# subset for Common Yellowthroat
coye <- subset(BandingData, SpeciesCode=="COYE")
# subset for Song Sparrow
sosp <- subset(BandingData, SpeciesCode=="SOSP")
# subset for Bewick's Wren
bewr <- subset(BandingData, SpeciesCode=="BEWR")
# subset for Bushtit
bush <- subset(BandingData, SpeciesCode=="BUSH")
# subset for Chestnut-backed Chickadee
cbch <- subset(BandingData, SpeciesCode=="CBCH")Summary Statistics for Weight of each species.
# summary statistics for weight for Common Yellowthroat
summary(coye$cleanWeight)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.500 8.800 9.300 9.328 9.700 19.000
# summary statistics for weight for Song Sparrow
summary(sosp$cleanWeight)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 11.10 16.80 17.70 17.71 18.60 28.80 3
# summary statistics for weight for Bewick's Wren
summary(bewr$cleanWeight)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 6.000 9.200 9.500 9.543 9.900 16.800
# summary statistics for weight for Bushtit
summary(bush$cleanWeight)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.300 5.200 5.400 5.434 5.600 55.000
# summary statistics for weight for Chestnut-backed Chickadee
summary(cbch$cleanWeight)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 5.600 9.000 9.400 9.404 9.800 19.200Summary statistics for Wing to Weight Ratio for each species.
# summary statistics for Wing to Weight Ratio for each Common Yellowthroat
summary(coye$wingToWeightRatio)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 2.910 5.484 5.745 5.720 5.978 15.636
# summary statistics for Wing to Weight Ratio for each Song Sparrow
summary(sosp$wingToWeightRatio)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 2.118 3.149 3.280 3.286 3.427 4.955 3
# summary statistics for Wing to Weight Ratio for each Bewick's Wren
summary(bewr$wingToWeightRatio)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.101 5.102 5.269 5.268 5.444 8.167
# summary statistics for Wing to Weight Ratio for each Bushtit
summary(bush$wingToWeightRatio)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.8704 8.3636 8.6538 8.6089 8.8889 14.8485
# summary statistics for Wing to Weight Ratio for each Chestnut-backed Chickadee
summary(cbch$wingToWeightRatio)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 2.969 6.100 6.302 6.303 6.517 10.179Count of each species of Bird sighted in different Habitats over the span of 20 years.
library(plyr)
# Song Sparrow
count(sosp,c('Habitat'))
## Habitat freq
## 1 1987 Revegetation 1924
## 2 1993 Revegtation 2762
## 3 Mature Riparian 2126
## 4 Overflow Channel 4185
# Common Yellowthroat
count(coye,c('Habitat'))
## Habitat freq
## 1 1987 Revegetation 766
## 2 1993 Revegtation 998
## 3 Mature Riparian 327
## 4 Overflow Channel 3275
# Bewick's Wren
count(bewr,c('Habitat'))
## Habitat freq
## 1 1987 Revegetation 381
## 2 1993 Revegtation 717
## 3 Mature Riparian 380
## 4 Overflow Channel 325
# Bushtit
count(bush,c('Habitat'))
## Habitat freq
## 1 1987 Revegetation 604
## 2 1993 Revegtation 961
## 3 Mature Riparian 382
## 4 Overflow Channel 1785
# Chestnut-backed Chickadee
count(cbch,c('Habitat'))
## Habitat freq
## 1 1987 Revegetation 450
## 2 1993 Revegtation 226
## 3 Mature Riparian 592
## 4 Overflow Channel 238Count of each species of Bird sighted in different Trapsites over the span of 20 years.
# Number of Birds sighted in different Trapsites
count(sosp,c('TrapSite')) # Song Sparrow
count(coye,c('TrapSite')) # Common Yellowthroat
count(bewr,c('TrapSite')) # Bewick's Wren
count(bush,c('TrapSite')) # Bushtit
count(cbch,c('TrapSite')) # Chestnut-backed Chickadee
# Output not displayed because its too lengthyNumber of Male and Female birds spotted every year.
# Number of Male and Female birds spotted every year
count(sosp,c('year','sexRatio')) # Song Sparrow
count(coye,c('year','sexRatio')) # Common Yellowthroat
count(bewr,c('year','sexRatio')) # Bewick's Wren
count(bush,c('year','sexRatio')) # Bushtit
count(cbch,c('year','sexRatio')) # Chestnut-backed Chickadee
# Output not displayed because its too lengthyNumber of birds sighted per month in each year.
count_sosp = count(sosp, c('month','year')) # Song Sparrow
count_coye = count(coye, c('month','year')) # Common Yellowthroat
count_bewr = count(bewr, c('month','year')) # Bewick's Wren
count_bush = count(bush, c('month','year')) # Bushtit
count_cbch = count(cbch, c('month','year')) # Chestnut-backed Chickadee
# Output not displayed because its too lengthyNumber of birds sighted in each year.
count_coye_year = count(coye, c('year')) # Common Yellowthroat
count_sosp_year = count(sosp, c('year')) # Song Sparrow
count_bewr_year = count(bewr, c('year')) # Bewick's Wren
count_bush_year = count(bush, c('year')) # Bushtit
count_cbch_year = count(cbch, c('year')) # Chestnut-backed Chickadee
# Displaying just the output for Common Yellowthroat
count_coye_year
## year freq
## 1 0 334
## 2 1 244
## 3 3 313
## 4 4 260
## 5 5 296
## 6 6 161
## 7 7 162
## 8 8 249
## 9 9 318
## 10 10 425
## 11 11 254
## 12 12 309
## 13 13 383
## 14 14 357
## 15 15 339
## 16 16 292
## 17 96 226
## 18 97 202
## 19 98 242Mean of weights by month for each year for Common Yellowthroat. (Means for remaining species can be found in R script)
#mean of weights by month for each year for Common Yellowthroat
coye_mean = data.frame()
for ( yr in unique(coye$year) )
{
for ( mn in unique(coye$month) )
{
tmp = subset(coye, year==yr & month==mn)
mean = mean(tmp$cleanWeight, na.rm=TRUE)
coye_mean = rbind(coye_mean, data.frame(yr,mn, mean))
}
}
coye_mean <- coye_mean[with(coye_mean, order(mn,yr)), ]Mean of wing to weight ratio by month for each year for Common Yellowthroat. (Means for remaining species can be found in R script)
#mean of wing to weight by month for each year for Common Yellowthroat
coye_wtow_mean = data.frame()
for ( yr in unique(coye$year) )
{
for ( mn in unique(coye$month) )
{
tmp5 = subset(coye, year==yr & month==mn)
mean_c_wtow = mean(tmp5$wingToWeightRatio)
coye_wtow_mean = rbind(coye_wtow_mean, data.frame(yr,mn, mean_c_wtow))
}
}
coye_wtow_mean <- coye_wtow_mean[with(coye_wtow_mean, order(mn,yr)), ]Summary statistics for weight per month. (months of all years combined)
detach(package:plyr)
library(dplyr)
#summary statistics for weight based on months for Common Yellowthroat
coye%>%
group_by(month)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
## # A tibble: 12 x 6
## month Mean Max Min Median Std
## <int> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 9.07 10.7 7.6 9.05 0.628
## 2 2 8.91 10.5 7.5 8.9 0.522
## 3 3 9.33 13.7 7.9 9.2 0.762
## 4 4 9.70 12.5 7.2 9.6 0.768
## 5 5 9.53 19 4.5 9.5 0.810
## 6 6 9.29 18.9 7.4 9.3 0.688
## 7 7 9.31 15.6 7.6 9.3 0.698
## 8 8 9.08 12.8 7.6 9 0.618
## 9 9 9.29 15.4 5.5 9.1 0.975
## 10 10 9.23 13.6 7.6 9 1.03
## 11 11 8.9 12.3 7.3 8.9 0.670
## 12 12 9.02 11.5 7.9 9 0.717
#summary statistics for weight based on months for Song Sparrow
sosp%>%
group_by(month)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
#summary statistics for weight based on months for Bewick's Wren
bewr%>%
group_by(month)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
#summary statistics for weight based on months for Bushtit
bush%>%
group_by(month)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
#summary statistics for weight based on months for Chestnut-backed Chickadee
cbch%>%
group_by(month)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))Summary statistics for weight per year.
detach(package:plyr)
library(dplyr)
#summary statistics for weight based on years for Common Yellowthroat
coye%>%
group_by(year)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
## # A tibble: 19 x 6
## year Mean Max Min Median Std
## <int> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 9.33 12.7 7.7 9.3 0.771
## 2 1 9.42 15.2 7.7 9.25 0.949
## 3 3 9.29 12.1 7.9 9.2 0.715
## 4 4 9.36 19 7.4 9.3 1.02
## 5 5 9.39 16.2 8 9.3 0.824
## 6 6 9.28 11.7 7.5 9.3 0.643
## 7 7 9.36 15.1 7.6 9.3 0.831
## 8 8 9.20 12.5 7.4 9.2 0.658
## 9 9 9.34 13 7.7 9.3 0.761
## 10 10 9.37 15.6 7.7 9.4 0.771
## 11 11 9.30 12.9 7.6 9.2 0.683
## 12 12 9.31 13 7.2 9.3 0.706
## 13 13 9.20 12.9 7.3 9.2 0.693
## 14 14 9.24 11.8 7.5 9.2 0.679
## 15 15 9.29 12.2 7.7 9.3 0.667
## 16 16 9.17 11.3 7.6 9.2 0.589
## 17 96 9.38 11.6 4.5 9.3 0.834
## 18 97 9.61 13.6 5.5 9.35 1.01
## 19 98 9.57 18.9 7.6 9.4 1.24
#summary statistics for weight based on years for Song Sparrow
sosp%>%
group_by(year)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
#summary statistics for weight based on years for Bewick's Wren
bewr%>%
group_by(year)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
#summary statistics for weight based on years for Bushtitbush
bush%>%
group_by(year)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))
#summary statistics for weight based on years for Chestnut-backed Chickadee
cbch%>%
group_by(year)%>%
summarise(Mean=mean(cleanWeight, na.rm=TRUE),Max=max(cleanWeight, na.rm=TRUE), Min=min(cleanWeight, na.rm=TRUE), Median=median(cleanWeight, na.rm=TRUE), Std=sd(cleanWeight, na.rm=TRUE))Summary statistics for Wing to Weight Ratio per month. (months of all years combined)
detach(package:plyr)
library(dplyr)
#summary statistics based on months for Common Yellowthroat for wingtoweight ratio
coye%>%
group_by(month)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
## # A tibble: 12 x 6
## month Mean Max Min Median Std
## <int> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 5.96 6.97 4.95 5.91 0.385
## 2 2 6.03 6.93 5.24 5.98 0.301
## 3 3 5.84 6.74 3.87 5.87 0.397
## 4 4 5.54 6.93 4.13 5.59 0.412
## 5 5 5.59 12.4 2.95 5.64 0.469
## 6 6 5.67 7.07 2.91 5.68 0.346
## 7 7 5.65 9.18 3.53 5.64 0.402
## 8 8 5.85 7.24 4.26 5.88 0.367
## 9 9 5.80 15.6 3.36 5.86 0.631
## 10 10 5.82 7.38 4.19 5.93 0.534
## 11 11 6.00 7.26 4.63 5.97 0.389
## 12 12 5.88 6.79 4.78 5.93 0.379
#summary statistics based on months for Song Sparrow for wingtoweight ratio
sosp%>%
group_by(month)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
#summary statistics based on months for Bewick's Wren for wingtoweight ratio
bewr%>%
group_by(month)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
#summary statistics based on months for Bushtit for wingtoweight ratio
bush%>%
group_by(month)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
#summary statistics based on months for Chestnut-backed Chickadee for wingtoweight ratio
cbch%>%
group_by(month)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))Summary statistics for Wing to weight ratio per year.
detach(package:plyr)
library(dplyr)
#summary statistics based on years for Common Yellowthroat for wingtoweight ratio
coye%>%
group_by(year)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
## # A tibble: 19 x 6
## year Mean Max Min Median Std
## <int> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 5.72 6.71 4.33 5.74 0.402
## 2 1 5.68 6.75 3.36 5.75 0.469
## 3 3 5.73 7.12 4.48 5.73 0.418
## 4 4 5.72 6.76 2.95 5.74 0.484
## 5 5 5.67 6.62 3.40 5.73 0.410
## 6 6 5.73 7.38 4.48 5.75 0.408
## 7 7 5.71 7.05 3.77 5.74 0.434
## 8 8 5.76 6.76 4.64 5.76 0.367
## 9 9 5.70 6.71 4 5.70 0.403
## 10 10 5.68 6.75 3.53 5.68 0.419
## 11 11 5.72 6.97 3.88 5.74 0.418
## 12 12 5.73 6.88 4 5.73 0.407
## 13 13 5.77 7.27 3.88 5.80 0.411
## 14 14 5.79 6.93 4.49 5.81 0.398
## 15 15 5.76 6.94 4.26 5.79 0.396
## 16 16 5.81 6.97 4.78 5.81 0.344
## 17 96 5.68 12.4 4.55 5.69 0.653
## 18 97 5.63 15.6 4.19 5.65 0.868
## 19 98 5.63 7.24 2.91 5.74 0.571
#summary statistics based on years for Song Sparrow for wingtoweight ratio
sosp%>%
group_by(year)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
#summary statistics based on years for Bewick's Wren for wingtoweight ratio
bewr%>%
group_by(year)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
#summary statistics based on years for Bushtit for wingtoweight ratio
bush%>%
group_by(year)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))
#summary statistics based on years for Chestnut-backed Chickadee for wingtoweight ratio
cbch%>%
group_by(year)%>%
summarise(Mean=mean(wingToWeightRatio, na.rm=TRUE),Max=max(wingToWeightRatio, na.rm=TRUE), Min=min(wingToWeightRatio, na.rm=TRUE), Median=median(wingToWeightRatio, na.rm=TRUE), Std=sd(wingToWeightRatio, na.rm=TRUE))Correlation between Weight and Wing length for each species.
#correlation between weight and wing length for Common Yellowthroat
coye_cor = cor(coye$cleanWeight, coye$WingLength)
coye_cor
## [1] 0.2834094
#correlation between weight and wing length for Song Sparrow
sosp_cor = cor(sosp$cleanWeight, sosp$WingLength,use="complete.obs")
sosp_cor
## [1] 0.4907241
#correlation between weight and wing length for Bewick's Wren
bewr_cor = cor(bewr$cleanWeight, bewr$WingLength)
bewr_cor
## [1] 0.3648109
#correlation between weight and wing length for Bushtit
bush_cor = cor(bush$cleanWeight, bush$WingLength)
bush_cor
## [1] 0.04793779
#correlation between weight and wing length for Chestnut-backed Chickadee
cbch_cor = cor(cbch$cleanWeight, cbch$WingLength)
cbch_cor
## [1] 0.427438Our contributions made to this dataset include analysis on various aspects using R scripts. We made sure that the data was thoroughly cleaned before working on it further. We agree to be held responsible for our work with this dataset.
Vineeth Reddy and Aishwarya Reddy met and discussed the research parts that could be analyzed using R scripts. As suggested by our clients, we worked on five species - Song Sparrow, Common Yellowthroat, Bewick’s Wren, Bushtit and Chestnut-backed Chickadee. We have performed analysis using R scripts for the following, a summary statistics for weight for all 5 species - per month of all years combined and also per year, a summary statisticcs for the wing to weight ratio for all 5 species - per month of all years combined and also per year, the mean of wing to weight ratio by month for each year for all 5 species, number of birds sighted - per month and in each year, number of male and female birds spotted every year, number of birds sighted based on their habitats and trap-sites, the correlation between wing length and weight was also observed for all 5 species. We have made various observations from all the results obtained by the above calculations and analysis.
All the calculations were done by Vineeth and Aishwarya. The final document was proofread by Aishwarya.