multiecdf package:geneplotter R Documentation _M_u_l_t_i_p_l_e _e_m_p_i_r_i_c_a_l _c_u_m_u_l_a_t_i_v_e _d_i_s_t_r_i_b_u_t_i_o_n _f_u_n_c_t_i_o_n_s (_e_c_d_f) _a_n_d _d_e_n_s_i_t_i_e_s _D_e_s_c_r_i_p_t_i_o_n: Plot multiple empirical cumulative distribution functions (ecdf) and densities with user interface similar to that of 'boxplot'. _U_s_a_g_e: multiecdf(x, ...) ## S3 method for class 'formula': multiecdf(formula, data = NULL, ..., na.action = NULL) ## Default S3 method: multiecdf(x, xlim, col, do.points=FALSE, subsample=TRUE, ...) multidensity(x, ...) ## S3 method for class 'formula': multidensity(formula, data = NULL, ..., na.action = NULL) ## Default S3 method: multidensity(x, xlim, col, ...) _A_r_g_u_m_e_n_t_s: formula: a formula, such as 'y ~ grp', where 'y' is a numeric vector of data values to be split into groups according to the grouping variable 'grp' (usually a factor). data: a data.frame (or list) from which the variables in 'formula' should be taken. na.action: a function which indicates what should happen when the data contain 'NA's. The default is to ignore missing values in either the response or the group. x: A list of numeric vectors. xlim: Range of the x axis. col: Line colors. If missing, the 'Set1' palette from RColorBrewer is used. do.points: logical; if 'TRUE', also draw points at the knot locations. subsample: logical; if 'TRUE', subsamples of size 1000 are used to compute and plot the ecdf for list items with many observations ('>1000') ...: Further arguments that get passed on to the 'plot' functions. _D_e_t_a_i_l_s: _V_a_l_u_e: _A_u_t_h_o_r(_s): Wolfgang Huber _S_e_e _A_l_s_o: 'boxplot', 'ecdf' 'density' _E_x_a_m_p_l_e_s: f = 1 + (runif(1000)>0.5) x = rnorm(length(f), mean=f, sd=f) multiecdf(x~f) multidensity(x~f)