Displaying 9 results from an estimated 9 matches for "y_3".
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2010 Jan 26
3
Problem with "nls" function
...hd thesis.
Thanks in advance.
Hammadi.
-------------- next part --------------
mat<- read.csv(file="mat.csv",head=FALSE,sep=";")
y<-read.csv(file="y.csv",head=FALSE,sep=";")
Y=y[,1]
D_1=mat[,1]
D_2=mat[,2]
D_3=mat[,3]
D_4=mat[,4]
Y_1=mat[,5]
Y_2=mat[,6]
Y_3=mat[,7]
Y_4=mat[,8]
s_F=mat[,9]
s_G=mat[,10]
L.minor=data.frame(Y=Y,D_1=D_1,D_2=D_2,D_3=D_3,D_4=D_4,Y_1=Y_1,Y_2=Y_2,Y_3=Y_3,Y_4=Y_4,s_F=s_F,s_G=s_G)
stdS=1/(sd(s_F))
stdG=1/(sd(s_G))
L.minor.m1<-nls(Y~a_1_1*D_1+a_2_1*D_2+a_3_1*D_3+a_4_1*D_4+a_1_2*(exp(-gamma_1_F*stdS*(s_F-c_1_F))+exp(gamma_2_F*s...
2006 Dec 14
3
Model formula question
Hi all,
I'm not familiar with R programming and I'm trying to reproduce a
result from a paper.
Basically, I have a dataset which I would like to model in terms of
successive increments, i.e. (y denote empirical values of y)
y_1 = y1,
y_2 = y1 + delta1,
y_3 = y1 + delta1 + delta2.
...
y_m = y1 + sum_2^m delta j
where delta_j donote successive increments in the y-values, i.e.
delta j = y_j - y_(j-1).
In order to estimate y-values, I'm assuming that delta j is
approximately equal to kj**u, such that my regression model should be
something like...
2014 Feb 08
3
[PATCH 1/2] arm: Use the UAL syntax for ldr<cc>h instructions
On Fri, 7 Feb 2014, Timothy B. Terriberry wrote:
> Martin Storsjo wrote:
>> This is required in order to build using the built-in assembler
>> in clang.
>
> These patches break the gcc build (with "Error: bad instruction").
Ah, right, sorry about that.
> Documentation I've seen is contradictory on which order ({cond}{size} or
> {size}{cond}) is correct.
2007 Feb 02
1
multinomial logistic regression with equality constraints?
I'm interested in doing multinomial logistic regression with equality
constraints on some of the parameter values. For example, with
categorical outcomes Y_1 (baseline), Y_2, and Y_3, and covariates X_1
and X_2, I might want to impose the equality constraint that
\beta_{2,1} = \beta_{3,2}
that is, that the effect of X_1 on the logit of Y_2 is the same as the
effect of X_2 on the logit of Y_3.
Is there an existing facility or package in R for doing this? Would
multinom...
2014 Feb 08
0
[PATCH v2] arm: Use the UAL syntax for instructions
...)
- LDRGTH r14, [r4], #2 ; r14 = *x++
+ LDRHGT r14, [r4], #2 ; r14 = *x++
SMLABT r7, r12, r10, r7 ; sum[1] = MAC16_16(sum[1],x,y_1)
SMLABB r8, r12, r11, r8 ; sum[2] = MAC16_16(sum[2],x,y_2)
SMLABT r9, r12, r11, r9 ; sum[3] = MAC16_16(sum[3],x,y_3)
@@ -319,7 +319,7 @@ xcorr_kernel_edsp_process4_done
SMLABB r7, r14, r11, r7 ; sum[1] = MAC16_16(sum[1],x,y_2)
LDRH r10, [r5], #2 ; r10 = y_4 = *y++
SMLABT r8, r14, r11, r8 ; sum[2] = MAC16_16(sum[2],x,y_3)
- LDRGTH r12, [r4], #2 ; r12 = *x++
+ LDR...
2014 Feb 07
3
[PATCH 1/2] arm: Use the UAL syntax for ldr<cc>h instructions
...)
- LDRGTH r14, [r4], #2 ; r14 = *x++
+ LDRHGT r14, [r4], #2 ; r14 = *x++
SMLABT r7, r12, r10, r7 ; sum[1] = MAC16_16(sum[1],x,y_1)
SMLABB r8, r12, r11, r8 ; sum[2] = MAC16_16(sum[2],x,y_2)
SMLABT r9, r12, r11, r9 ; sum[3] = MAC16_16(sum[3],x,y_3)
@@ -319,7 +319,7 @@ xcorr_kernel_edsp_process4_done
SMLABB r7, r14, r11, r7 ; sum[1] = MAC16_16(sum[1],x,y_2)
LDRH r10, [r5], #2 ; r10 = y_4 = *y++
SMLABT r8, r14, r11, r8 ; sum[2] = MAC16_16(sum[2],x,y_3)
- LDRGTH r12, [r4], #2 ; r12 = *x++
+ LDR...
2006 Dec 14
0
Model formula
...To: r-help at stat.math.ethz.ch
Hi all,
I'm not familiar with R programming and I'm trying to reproduce a
result from a paper.
Basically, I have a dataset which I would like to model in terms of
successive increments, i.e. (y denote empirical values of y)
y_1 = y1,
y_2 = y1 + delta1,
y_3 = y1 + delta1 + delta2.
...
y_m = y1 + sum_2^m delta j
where delta_j donote successive increments in the y-values, i.e.
delta j = y_j - y_(j-1).
In order to estimate y-values, I'm assuming that delta j is
approximately equal to kj**u, such that my regression model should be
something like...
2005 Sep 15
1
Coefficients from LM
...veryone,
Can anyone tell me if its possibility to extract the coefficients from the
lm() command?
For instance, imagine that we have the following data set (the number of
observations for each company is actually larger than the one showed...):
Company Y X1 X2
1 y_1 x1_1 x2_1
1 y_2 x1_2 x2_2
1 y_3 x1_3 x2_3
(...)
2 y_4 x1_4 x2_4
2 y_5 x1_5 x2_5
2 y_6 x1_6 x2_6
(...)
n y_n x1_n x2_n
n y_n1 x1_n1 x2_n1
n y_n2 x1_n2 x2_n2
(...)
I need to run a regression of Y=b0+b1*X1+b2*X2 for EACH company in the
dataset and then retrieve the coefficients for each regression obtained (and
t-stats and R...
2006 May 10
4
lattice package plots
I am using the lattice packge for its levelplot and contourplot. Is it
possible to adjust the line thickness of the 'box' and tickmarks in these
plots?
Thanks for the attention,
Matt Sundling