object.size package:utils R Documentation _R_e_p_o_r_t _t_h_e _S_p_a_c_e _A_l_l_o_c_a_t_e_d _f_o_r _a_n _O_b_j_e_c_t _D_e_s_c_r_i_p_t_i_o_n: Provides an estimate of the memory that is being used to store an R object. _U_s_a_g_e: object.size(x) ## S3 method for class 'object_size': print(x, quote = FALSE, units = c("b", "auto", "Kb", "Mb", "Gb"), ...) _A_r_g_u_m_e_n_t_s: x: An R object. quote: logical, indicating whether or not the result should be printed with surrounding quotes. units: The units to be used in printing the size. ...: Arguments to be passed to or from other methods. _D_e_t_a_i_l_s: Exactly which parts of the memory allocation should be attributed to which object is not clear-cut. This function merely provides a rough indication: it should be reasonably accurate for atomic vectors, but does not detect if elements of a list are shared, for example. (Sharing amongst elements of a character vector is taken into account, but not that between character vectors in a single object.) The calculation is of the size of the object, and excludes the space needed to store its name in the symbol table. Associated space (e.g. the environment of a function and what the pointer in a 'EXTPTRSXP' points to) is not included in the calculation. Object sizes are larger on 64-bit platforms than 32-bit ones, but will very likely be the same on different platforms with the same word length and pointer size. _V_a_l_u_e: An object of class '"object.size"' with a length-one double value, an estimate of the memory allocation attributable to the object in bytes. _S_e_e _A_l_s_o: 'Memory-limits' for the design limitations on object size. _E_x_a_m_p_l_e_s: object.size(letters) object.size(ls) print(object.size(library), units = "auto") ## find the 10 largest objects in the base package z <- sapply(ls("package:base"), function(x) object.size(get(x, envir = baseenv()))) as.matrix(rev(sort(z))[1:10])