growth.list.ind | R Documentation |
This function generates a data frame of industrial growth in regions from multiple regions - industries matrices (same matrix composition for the different periods). In this function, the maximum number of periods is limited to 20.
growth.list.ind(mat1, mat2, mat3, mat4, mat5, mat6, mat7, mat8, mat9, mat10, mat11, mat12, mat13, mat14, mat15, mat16, mat17, mat18, mat19, mat20)
mat1 |
An incidence matrix with regions in rows and industries in columns (period 1 - mandatory) |
mat2 |
An incidence matrix with regions in rows and industries in columns (period 2 - mandatory) |
mat... |
An incidence matrix with regions in rows and industries in columns (period ... - optional) |
Pierre-Alexandre Balland p.balland@uu.nl
Boschma, R., Balland, P.A. and Kogler, D. (2015) Relatedness and Technological Change in Cities: The rise and fall of technological knowledge in U.S. metropolitan areas from 1981 to 2010, Industrial and Corporate Change 24 (1): 223-250
Boschma, R., Heimeriks, G. and Balland, P.A. (2014) Scientific Knowledge Dynamics and Relatedness in Bio-Tech Cities, Research Policy 43 (1): 107-114
growth
, exit
, exit.list
## generate a first region - industry matrix with full count (period 1) set.seed(31) mat1 <- matrix(sample(0:10,20,replace=T), ncol = 4) rownames(mat1) <- c ("R1", "R2", "R3", "R4", "R5") colnames(mat1) <- c ("I1", "I2", "I3", "I4") ## generate a second region - industry matrix with full count (period 2) mat2 <- mat1 mat2[3,1] <- 8 ## run the function growth.list.ind (mat1, mat2) ## generate a third region - industry matrix with full count (period 3) mat3 <- mat2 mat3[5,2] <- 1 ## run the function growth.list.ind (mat1, mat2, mat3) ## generate a fourth region - industry matrix with full count (period 4) mat4 <- mat3 mat4[5,4] <- 1 ## run the function growth.list.ind (mat1, mat2, mat3, mat4)
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