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comparing distance matrices in R

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ margin-bottom:0;
}

0

I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.

Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:

library(vegan)
geodist<-vegdist(my_geodist_matrix, method="euclidean")
commdist<-vegdist(dist.matrix, method="bray")

Does anyone have thoughts on the best way to accomplish my end goal?

Thanks

distance-matrix

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edited 31 secs ago

getthere

asked 41 mins ago

gettheregetthere

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0

I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.

Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:

library(vegan)
geodist<-vegdist(my_geodist_matrix, method="euclidean")
commdist<-vegdist(dist.matrix, method="bray")

Does anyone have thoughts on the best way to accomplish my end goal?

Thanks

distance-matrix

share|improve this question

edited 31 secs ago

getthere

asked 41 mins ago

gettheregetthere

11

New contributor

getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment | 

I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.

Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:

library(vegan)
geodist<-vegdist(my_geodist_matrix, method="euclidean")
commdist<-vegdist(dist.matrix, method="bray")

Does anyone have thoughts on the best way to accomplish my end goal?

Thanks

distance-matrix

share|improve this question

edited 31 secs ago

getthere

asked 41 mins ago

gettheregetthere

11

New contributor

getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

edited 31 secs ago

getthere

asked 41 mins ago

gettheregetthere

11

New contributor

getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

edited 31 secs ago

getthere

asked 41 mins ago

gettheregetthere

11

New contributor

getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 41 mins ago

gettheregetthere

11

New contributor

getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 41 mins ago

gettheregetthere

11