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...ontecarlo experiment: I have to generate a random variable N(0,1) with 100 observations but I have to contaminate this values at certain point in order to obtain different vectors with different samples: tab<-function(N,n,E,L){ for(i in 1:100){ X1<-rnorm(N*(1-a),0,1) X2<-rnorm(N*(a),E,L) X_tab<-sample(c(X1,X2),n,replace=T) } return(X_tab)} N=100 ,n=5, a= 0.1, E=5 , L=0.01 I have to replicate it for different values of this parameters, but i wouldn't rewrite each times values, i would like a loop... for n=5 N=100 a=c(0.1,0.2,0.3) E=5 L=0.01 and repeat for n=5 N=100 a=c(0.1,0....

...k blkbk blkback_pagemap blktap xenbus_be binfmt_misc xt_tcpudp ip6t_REJ ECT nf_conntrack_ipv6 ip6table_raw xt_NOTRACK ipt_REJECT xt_physdev xt_state iptable_raw iptable_filter ip6table_man gle nf_conntrack_netbios_ns nf_conntrack_ipv4 nf_conntrack nf_defrag_ipv4 ip_tables ip6table_filter ip6_tables x_tab les ipv6 bridge stp llc dummy fuse loop dm_mod mptctl iTCO_wdt iTCO_vendor_support i5k_amb sg i5000_edac ppdev 8250_ pnp pcspkr sr_mod edac_core parport_pc shpchp e1000e dcdbas 8250 pci_hotplug tg3 parport serio_raw serial_core butto n usbhid hid uhci_hcd ehci_hcd xenblk cdrom xennet edd fan ide_pc...