subsetting matrix observations in R -

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मेरे पास एक मैट्रिक्स एक्स 1 है, जो निम्नानुसार है 

  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 63 64 65 66 67 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 77 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

वहाँ रहे हैं कुछ अलग संयोजन। 

  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 63 64 65 66 67 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

जो मैं देख रहा हूं वह एक ऐसा प्रोग्राम है जो इस मैट्रिक्स को सबसे कम करेगा X1 जैसे प्रत्येक अद्वितीय संयोजन को एक नया मैट्रिक्स में संग्रहित किया जाता है, उदाहरण के लिए, x1 में पहली पंक्ति, एक नए मैट्रिक्स y1 में संग्रहित होनी चाहिए।

दूसरा अनूठा संयोजन (इस संयोजन के साथ दो पंक्तियाँ हैं) 

  0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 63 64 65 66 67 2 1 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 77 1 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0

दोनों इन पंक्तियों को एक नए मैट्रिक्स y2 में संग्रहीत किया जाना चाहिए। तीसरा अनूठा संयोजन मैट्रिक्स y3 में संग्रहीत किया जाना चाहिए .... तो .... यह सब स्वतः प्रारंभिक मैट्रिक्स x1 के आधार पर होना चाहिए।

यह कैसे करें पर कोई सलाह सहायक होगा।

आप कोशिश कर सकते हैं : 

  विभाजन (as.data.frame (x2), do.call (paste0, as.data.frame (x2))) # इस सूची में data.frame के रूप में इसे रखता है < / Code>

यदि आप x1 से अद्वितीय पंक्तियों के आधार पर मैट्रिक्स को विभाजित करना चाहते हैं यह सूची में मैट्रिक्स के रूप में स्टोर करेगा 

  lst & lt; - lapply (विभाजन (1: नेरो (x1), do.call (paste0, as.data। फ्रेम (x1)), फ़ंक्शन (i) x1 [i,]) lst [[6]] # 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 63 64 65 66 67 # 2 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0

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