Displaying 6 results from an estimated 6 matches for "mozambique".
2006 Apr 11
4
Bootstrap and Jackknife Bias using Survey Package
...University of Lisbon. And now i?m writting my dissertation in variance estimation.So i?m using Survey Package to compute the principal estimators and theirs variances.
My data is from Incoming and Expendire Survey. This is stratified Multi-stage Survey care out by National Statistic Institute of Mozambique. My domain of analysis is Maputo City, the Capital of Mozambique. I just compute the sampling errors using Survey Package, but i have some droubles:
1. How to compute Bootstrap and Jackknife Bias of estimates, like mean?
2. How to see each replicate estimate of the parameter?
3. Is it possible t...
2010 Mar 10
1
Displaying political boundaries
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Dear all,?
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I am new in the R environment. How can I enable political boundaries in R?
I want plot a variable (e.g., temperature) only for Mozambique.
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?Sincerely,
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Arlindo
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Arlindo
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2012 Aug 04
1
how to coerce the result of sweep to be an array if result of FUN is a string?
...the result of sweep should have the same dimensions as x, however when the result of the function is a string this is not the case. How can I coerce the result of the function to cause sweep to return an array as advertised?
thanks,
Peter
Peter Young, MPH
Surveillance Epidemiologist
CDC Mozambique
[[alternative HTML version deleted]]
2009 Mar 18
1
lm function (PR#13608)
...55 .534
119 NIGERIA .55 .47
120 TANZANIA .55 .467
121 BENIN .54 .437
122 BOTSWANA .54 .654
123 GUINEABISSAU .54 .374
124 INDIA .54 .619
125 LAOS .54 .601
126 MOZAMBIQUE .54 .384
127 PALESTINE .54 .731
128 SLOVAKIA .54 .863
129 BURMA .53 .583
130 MALI .53 .38
131 MAURITANIA .53 .55
132 TURKEY .53 .775
133 ALGERIA .52 .733
134 EQUA...
2006 Jul 18
2
how can I delete rows?
...i MWI + +
26 Mali MLI - +
27 Mauritania MRT - -
28 Mauritius MUS + +
29 Morocco MAR + -
30 Mozambique MOZ - -
31 Niger NER - +
32 Nigeria NGA + -
33 Rwanda RWA + +
34 Senegal SEN + +
35 Seych...
2017 Jan 04
3
Big data con R
Hola.
Últimamente ha habido en la lista varios hilos sobre análisis de grandes
volúmenes de datos con R.
Las alternativas que se han mencionado son:
- Usar una máquina más potente, vía Amazon Web Services, por ejemplo
- Paralelización con openMp
- h2o y su paquete para R,
- Paquete sparklyr como wrapper de los algoritmos de spark,
Y por supuesto, utilizar muestreo o incluso si tenemos