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sat_length_statsv2.m
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function [anova_sat_RC,anova_sat_PR,anova_sat_PC, anova_length_RC,anova_length_PR, anova_length_PC, anova_combo_RC,anova_combo_PR, anova_combo_PC] = sat_length_statsv2( mat_control, matp, matR, lipids, species )
%UNTITLED Summary of this function goes here
% % Detailed explanation goes here
% %
% mat_control=uninf;
% matp=DD2f_p_;
% matR=DD2f_R_;
% lipids=DD2f_names;
% species=species;
[r,c]=size(lipids);
group={'PL', 'SL', 'NL'};
match=cell2mat(species(:,3));
anova_sat=cell.empty;
anova_chain=cell.empty;
anova_combo=cell.empty;
a_count=1;
l_count=1;
co_count=1;
match_=match;
match_(match==4)=3;
for i=1:3
indx=find(match_==i);
L=species(indx,2);
saturation=double.empty;
chain_length=double.empty;
sum_=double.empty;
time_mat=double.empty;
col_label=double.empty;
levels_control=double.empty;
levels_p=double.empty;
levels_R=double.empty;
n_=1;
for k=1:length(L)
lipid=L{k}; %the name of the lipid we are including
[r,c]=size(lipids);
for j=1:r
text_=lipids{j,1};
text1=text_;
name='';
k_=strfind(text_,' ');
k1=(k_(1)-1);
for p_=1:k1
c_=text_(p_);
name=[name c_];
end
if strcmp (name, 'Acyl')==1 || strcmp(name, 'Lyso')==1
for m_=p_+1:p_+3
c_=text_(m_);
name=[name c_];
end
end
q=strfind(text_,':');
if numel(q)>0 && numel(q)<3
q1=q(1)-1;
else
q1=0;
end
if strcmp(name,lipid)==1 %same family
%look at the chain length
if q1>0
chain='';
sat_='';
Q=strfind(text_, '/');
P=strfind(text_,'-');
if numel(Q)>0
%q1=q(2)-1;
rL=Q-1;
elseif numel(P)>0
%q1=q(2)-1;
rL=P-1;
else
rL=length(text_);
end
for p_=q1-1:q1
c_=text_(p_);
chain=[chain c_] ;
end
chain = str2num(chain);
%chain_length(n_,1)=chain;
for p_=q1+2:rL
c_=text_(p_) ;
sat_=[sat_ c_];
end
sat_=str2num(sat_);
% saturation(n_,1)=sat_;
%FOR ADDING SECOND NUMBER -----------------
rL=length(text_);
if numel(Q)>0
q2=q(2)-1;
%rL=Q-1;
elseif numel(P)>0
q2=q(2)-1;
%rL=P-1;
else
q2=0;
end
if i==2 %PL
chain2='';
sat2='';
for p_=q2-1:q2
c_=text_(p_);
chain2=[chain2 c_] ;
end
chain2 = str2num(chain2);
chain_length(n_,1)=chain + chain2;
for p_=q2+2:rL
c_=text_(p_) ;
sat2=[sat2 c_];
end
sat2=str2num(sat2);
saturation(n_,1)=sat_+sat2;
elseif numel(P)>0
chain2='';
sat2='';
for p_=q2-1:q2
c_=text_(p_);
chain2=[chain2 c_] ;
end
chain2 = str2num(chain2);
chain_length(n_,1)=chain2;
for p_=q2+2:rL
c_=text_(p_) ;
sat2=[sat2 c_];
end
sat2=str2num(sat2);
saturation(n_,1)=sat2;
else
chain_length(n_,1)=chain;
saturation(n_,1)=sat_;
end
levels_control(n_,:)=mat_control(j,:);
levels_p(n_,:)=matp(j,:);
levels_R(n_,:)=matR(j,:);
col_label{n_,1}=text1;
n_=n_+1;
end
end
end
end
%make an average with time for each member of the group
%control--------------------------------------------------------------
[r1,c1]=size(levels_control);
levels_sum=sum(levels_control);
levels_percent_c=zeros(r1,c1);
for k2=1:r1
for j2=1:c1
levels_percent_c(k2,j2)=(levels_control(k2,j2)/levels_sum(j2))*100;
end
end
%parasite-------------------------------------------------------------
[r1,c1]=size(levels_p);
levels_sum=sum(levels_p);
levels_percent_p=zeros(r1,c1);
for k2=1:r1
for j2=1:c1
levels_percent_p(k2,j2)=(levels_p(k2,j2)/levels_sum(j2))*100;
end
end
%RBC-------------------------------------------------------------------
[r1,c1]=size(levels_R);
levels_sum=sum(levels_R);
levels_percent_R=zeros(r1,c1);
for k2=1:r1
for j2=1:c1
levels_percent_R(k2,j2)=(levels_R(k2,j2)/levels_sum(j2))*100;
end
end
unique_sat=unique(saturation);
stat_mat_RC=double.empty;
stat_mat_PC=double.empty;
stat_mat_PR=double.empty;
%for each saturation---------------------------------------------------
for j=1:length(unique_sat)
u=unique_sat(j);
anova_sat_RC{a_count,1}=group{i};
anova_sat_RC{a_count,2}=u;
anova_sat_PR{a_count,1}=group{i};
anova_sat_PR{a_count,2}=u;
anova_sat_PC{a_count,1}=group{i};
anova_sat_PC{a_count,2}=u;
indx=find(saturation==u);
stat_sat_c=levels_percent_c(indx,:);
stat_sat_R=levels_percent_R(indx,:);
stat_sat_p=levels_percent_p(indx,:);
[r3,c3]=size(stat_sat_c);
if r3>1
stat_sat_c=sum(stat_sat_c);
end
[r3,c3]=size(stat_sat_R);
if r3>1
stat_sat_R=sum(stat_sat_R);
end
[r3,c3]=size(stat_sat_p);
if r3>1
stat_sat_p=sum(stat_sat_p);
end
d=1;
%for each timepoint-----------------------------------------------
for k=1:6 %for each timepoint
temp=stat_sat_p(d:d+8);
group_p=temp;
temp=stat_sat_R(d:d+8);
group_R=temp ;
d=d+9;
temp=stat_sat_c(:);
group_c=temp;
[hval, pval]=ttest2(group_p,group_R, 0.05,'both', 'unequal');
anova_sat_PR{a_count,k+2}=pval;
[hval, pval]=ttest2(group_p,group_c, 0.05,'both', 'unequal');
anova_sat_PC{a_count,k+2}=pval;
[hval, pval]=ttest2(group_c,group_R, 0.05,'both','unequal');
anova_sat_RC{a_count,k+2}=pval;
end
a_count=a_count+1;
end
%length---------------------------------------------------------------
unique_length=unique(chain_length);
for j=1:length(unique_length)
u=unique_length(j);
anova_length_RC{l_count,1}=group{i};
anova_length_RC{l_count,2}=u;
anova_length_PR{l_count,1}=group{i};
anova_length_PR{l_count,2}=u;
anova_length_PC{l_count,1}=group{i};
anova_length_PC{l_count,2}=u;
indx=find(chain_length==u);
stat_length_c=levels_percent_c(indx,:);
stat_length_R=levels_percent_R(indx,:);
stat_length_p=levels_percent_p(indx,:);
[r3,c3]=size(stat_length_c);
if r3>1
stat_length_c=sum(stat_length_c);
end
[r3,c3]=size(stat_length_R);
if r3>1
stat_length_R=sum(stat_length_R);
end
[r3,c3]=size(stat_length_p);
if r3>1
stat_length_p=sum(stat_length_p);
end
d=1;
%for each timepoint-----------------------------------------------
for k=1:6 %for each timepoint
temp=stat_length_p(d:d+8);
group_p=temp;
temp=stat_length_R(d:d+8);
group_R=temp ;
d=d+9;
temp=stat_length_c(:);
group_c=temp;
[hval, pval]=ttest2(group_p,group_R, 0.05,'both', 'unequal');
anova_length_PR{l_count,k+2}=pval;
[hval, pval]=ttest2(group_p,group_c, 0.05,'both', 'unequal');
anova_length_PC{l_count,k+2}=pval;
[hval, pval]=ttest2(group_c,group_R, 0.05,'both', 'unequal');
anova_length_RC{l_count,k+2}=pval;
end
l_count=l_count+1;
end
%combo---------------------------------------------------------------
for j=1:length(unique_sat)
us=unique_sat(j);
indxs=find(saturation==us);
for j2=1:length(unique_length)
error=0;
ul=unique_length(j2);
indxl=find(chain_length==ul);
indx=intersect(indxl,indxs);
if numel(indx)>0
anova_combo_RC{co_count,1}=group{i};
anova_combo_RC{co_count,2}=us;
anova_combo_RC{co_count,3}=ul;
anova_combo_PR{co_count,1}=group{i};
anova_combo_PR{co_count,2}=us;
anova_combo_PR{co_count,3}=ul;
anova_combo_PC{co_count,1}=group{i};
anova_combo_PC{co_count,2}=us;
anova_combo_PC{co_count,3}=ul;
stat_length_c=levels_percent_c(indx,:);
stat_length_R=levels_percent_R(indx,:);
stat_length_p=levels_percent_p(indx,:);
[r3,c3]=size(stat_length_c);
if r3>1
stat_length_c=sum(stat_length_c);
end
[r3,c3]=size(stat_length_R);
if r3>1
stat_length_R=sum(stat_length_R);
end
[r3,c3]=size(stat_length_p);
if r3>1
stat_length_p=sum(stat_length_p);
end
d=1;
%for each timepoint-----------------------------------------------
for k=1:6 %for each timepoint
temp=stat_length_p(d:d+8);
group_p=temp;
temp=stat_length_R(d:d+8);
group_R=temp ;
d=d+9;
temp=stat_length_c(:);
group_c=temp;
[hval, pval]=ttest2(group_p,group_R, 0.05,'both', 'unequal');
anova_combo_PR{co_count,k+3}=pval;
[hval, pval]=ttest2(group_p,group_c, 0.05,'both', 'unequal');
anova_combo_PC{co_count,k+3}=pval;
[hval, pval]=ttest2(group_c,group_R, 0.05,'both', 'unequal');
anova_combo_RC{co_count,k+3}=pval;
end
co_count=co_count+1;
end
end
end
end
end